Francesco Claudio STINGO

Ruolo attuale:: Professore Ordinario
SSD:: STAT-01/A - Statistica
Afferenza organizzativa:: Dipartimento di Statistica, Informatica, Applicazioni 'G. Parenti' (DiSIA)

Recapiti

	0552751528
	francescoclaudio.stingo(AT)unifi.it

Ulteriori Recapiti

	+39 055 2751528
	stingo(AT)disia.unifi.it
	https://sites.google.com/site/fcstingo/

Francesco Claudio STINGO

Biografia

Francesco Stingo è professore ordinario di Statistica presso l’Università di Firenze e afferisce al DiSIA (Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”). Ha conseguito la laurea specialistica in Statistica e Informatica per l'Azienda nel 2006 e il dottorato di ricerca in Statistica Applicata nel 2010 (tesi premiata dalla Societa' Italiana di Statistica come miglior tesi di dottorato in Statistica Applicata negli anni 2009-2010). Prima di trasferirsi all'Università di Firenze, ha lavorato alla Rice University (USA) per tre anni nel dipartimento di Statistica (prima come visiting student e poi come post-doctoral fellow) e successivamente nel dipartimento di Biostatistica della University of Texas MD Anderson Cancer Center (USA), dove ha ricoperto l'incarico di Assistant Professor per 5 anni.

Il Dr. Stingo ha pubblicato piu' di 80 articoli in riviste internazionali (tra le quali Journal of the American Statistical Association, Journal of Machine Learning Research, Biometrics, Annals of Applied Statistics, Statistics in Medicine, Statistics and Computing) ed è stato invitato come relatore a piu' di 40 conferenze nazionali e internazionali. Il progetto Understanding genomic networks in pan-cancer and multi-platform data: novel Bayesian methods for multiple and matrix-variate networks presentato dal Dr. Stingo è stato finanziato dal MIUR nel contesto del programma per il reclutamento di giovani ricercatori "Rita Levi Montalcini"; ha ricevuto una Menzione d'onore per il Premio a Giovani Studiosi e Studiose per Contributi alle Discipline Statistiche 2021 della Società Italiana di Statistica e coordina il progetto PRIN2022 COMBINERS. Il Dr. Stingo svolge il ruolo di Associate Editor per le riviste internazionali Bayesian Analysis, Biometrical Journal, Electronic Journal of Statistics e Statistical Methods and Applications.

Gli interessi di ricerca preminenti riguardano aspetti metodologici relativi a modelli Bayesiani per l'analisi di dati di grandi dimensioni (modelli grafici, modelli gerarchici, selezione delle variabili, modelli non-lineari), con applicazioni in ambito bio-medico (genomica, personalized medicine, diagnosi precoce, dati di immagine).

Sito Web personale: https://sites.google.com/site/fcstingo/

Francesco Claudio STINGO

Curriculum

Experience

2024 Professor, Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti” (DiSIA), University of Florence, Florence, Italy

2019 - 2024 Associate Professor, Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti” (DiSIA), University of Florence, Florence, Italy

2016 - 2019 Assistant Professor, Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti” (DiSIA), University of Florence, Florence, Italy

2011 - 2016 Assistant Professor, Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, T

2010 - 2011 Postdoctoral Fellow, Department of Statistics, Rice University, Houston, Tx. Advisor : Marina Vannucci

Affiliations
2020 - 2026 Adjunct Associate Professor, Department of Statistics, Rice University
2015 - 2020 Adjunct Assistant Professor, Department of Statistics, Rice University
2012 - 2016 Associate member, The University of Texas Graduate School of Biometrical Science (GSBS)
2012 - 2015 Mentor, pre-doctoral training program in Statistical Genetics of Addiction

Education
2010 Ph.D, Statistics, Department of Statistics, University of Florence, Italy. Advisor: Marina Vannucci.
2006 M.S., Statistics and Computer Science, University of Perugia, Italy. Advisor: Elena Stanghellini.
2003 B.S., Statistics and Computer Science, University of Perugia, Italy.

Research Interests
Bayesian Statistics, Biostatistics, Biomarker discovery and validation, Graphical models, High-Dimensional data, Imaging-Genetics, Integrative genomics, Personalized medicine, Statistical Bioinformatics, Variable selection, Wavelet-based statistical methods

Service and other info

Panel member for nation-wide Research Assessment VQR, 2020-2022 (Italy, VQR 2015-2019; GEV
13a)
Associate Editor, Bayesian Analysis (May 2017-present)
Associate Editor, Biometrical Journal (April 2020-present)
Associate Editor, Electronic Journal of Statistics (January 2023-present)
Associate Editor, Statistical Methods and Applications (October 2019- December 2023)
Editorial Board Reviewer, Journal of Machine Learning Research (June 2020-present)
Co-guest Editor, Special Issue on Analysis of Networks, Statistical Methods and Applications (2020-
2021)
Member of the Board of the Italian Biometrical Society (branch of the International Biometrical Society)
two two-year terms 2020-2023
Member of the steering committee of the departmental project ‘Dipartimenti d’eccellenza 2023-
2027” (membro del gruppo di coordinamento), University of Florence (2023-2027)
Member of the task force (membro del gruppo di lavoro) for the departmental development project
“Dipartimenti d’eccellenza 2023-2028”, University of Florence (June-September 2022)
Member of the steering committee (membro del collegio di dottorato) of the Ph.D program in “Mathematics,
Computer Science, Statistics”, University of Florence (April 2019 - to date)
Reviewer of several research grants “PRIN 2015” and "PRIN 2017" (Ministry of Education, University and Research, Italy), a doctoral fellowship (DOC) application at the Austrian Academy of Sciences (2019), research grant “Bando Start Up” 2023, University of Cagliari (UniCA), a research grant for the Agency for Science, Technology & Research, Singapore (2023), a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant proposal (2024) , a EUTOPIA-SIF (European Union’s Horizon 2020, France) grant proposal (2024).
Committee member of the Commissione paritetica docenti e studenti (CPDS), School of Economics and Management, University of Florence (since October 2020)
Committee member for the admission of PhD students in Statistics at the University of Florence (2021 and 2022)
Department delegate for global rankings (University of Florence).
Member of the Committee for the Mitchell Prize 2020, awarded by the International Society for Bayesian Analysis (ISBA) in recognition of an outstanding paper that describes how a Bayesian analysis has solved an important applied problem.
Member of the Committee for the Blackwell-Rosenbluth Award 2023 award for junior researchers in different areas of Bayesian statistic awarded by j-ISBA, the junior section of the International Society for Bayesian Analysis.
Reviewer/Judge: 2015 SBSS Student Paper Competition, 2018 COSTNET Networking Biostatistics poster competition, 2018 SIS poster competition, 2021 SIB best student presentation, 2023 Bernoulli Workshop on Sparse Inference of Complex Networks poster competition.
MD Anderson Department of Biostatistics seminar series coordinator (2012 - 2016).
Member of the MD Anderson Data and Safety Monitoring Board (DSMB) committee (2014 - 2016).
Member of the admission committee for the GSBS PhD program in Biostatistics (2015 and 2016).
Member of the admission committee for the Rice-MD Anderson PhD program in Biostatistics (2015).
Member of the Biostatistics Faculty Recruitment Committee (MD Anderson, 2015-2016).
Member of the interview panel for several junior and senior statistical analyst positions (MD Anderson, 2014 - 2015).
Session Chair: JSM 2012 (San Diego), JSM 2013 (Montreal), Bayesian Biostatistics 2014 (Zurich), JSM 2014 (Boston), JSM 2015 (Seattle), ISBA 2016 (Cagliari), JSM 2016 (Chicago), ICMS Workshop on Graphical Models 2017 (Edinburgh), ERCIM 2017 (London), EMS 2023 (Warsaw), ISCB 2023 (Milan).
Invited session organizer: ISBA 2016 (Cagliari, Italy), JSM 2016 (Chicago, USA), ERCIM 2017 (London, UK), ERCIM 2019 (London, UK), SIS 2020 (Pisa, Italy - canceled), ISBA 2021 (on-line), IMS International Conference on Statistics and Data Science 2022 (Florence, Italy), 44-th ISCB Conference 2023 (Milan, Italy).
Program Committee member for the realization of the Post-proceedings volume of the 12th International Meeting on Computational Intelligence methods for Bioinformatics and Biostatistics 2015 - CIBB2015 (published as part of the Lecture Notes in Computer Science series, Springer).
Program Committee member of the 13th,14th, and 15th International Meeting on Computational Intelligence methods for Bioinformatics and Biostatistics - CIBB 2016, 2017, 2018.
Scientific Programme Committee member of the 44-th ISCB Conference (Milan, 27-31 August 2023)
Local Arrangements Committee and Program Committee member of the 2022 IMS International Conference on Statistics and Data Science, December 13-16, 2022 (Florence, Italy)
Scientific Committee member of the 13th IBS-Italian Region conference (on line, September 20-29, 2021)
Scientific Committee member of the 12th IBS-Italian Region conference (Naples, July 7-10, 2019)

Honors and Awards

2021 - Premio a Giovani Studiosi e Studiose per Contributi alle Discipline Statistiche (Honorable mention), Italian Statistical Society.

2012 Junior Travel Award for ISBA 2012 World Meeting

2011 - Prize for the best Ph.D. dissertation in Applied Statistics 2009--2010, Italian Statistical Society.

Jan 2007 - Dec 2009 - Ph.D. Scholarship, University of Florence.

Reviewer (since 2009)

Annals of Mathematics and Artificial Intelligence, Annals of Statistics, Annals of Applied Statistics, Bayesian Analysis, Bioinformatics, Biomedical Journal, Biometrical Journal, Biometrics, Biometrika, Biostatistics, BMC Bioinformatics BMC Medical Genomics, Canadian
Journal of Statistics, CLADAG 2021, Computational Statistics, Computational Statistics & Data Analysis, International Journal of Approximate Reasoning, Journal of Agricultural, Biological, and Environmental Statistics, Journal of Biological Systems, Journal of Machine Learning Research, Journal of Multivariate Analysis, Journal of the National Cancer Institute, Journal of the American
Statistical Association - T&M and A&CS, Journal of the Royal Statistical Society – Series A, Journal of the Royal Statistical Society – Series B, Journal of the Royal Statistical Society – Series C, Lecture Notes in Computer Science, Metron, PLOS ONE, Proceedings of the 2016 CIBB Conference, Proceedings of the 2017 ISMB/ECCB Conference, Scandinavian Journal of Statistics, Scientific Reports, Statistica Sinica, Statistics in Biosciences, Statistics and Its Interface, Statistics in Medicine, Statistical Methods and Applications, Statistical Papers, Statistics and Probability Letters, WIREs Computational Statistics.

Francesco Claudio STINGO

Interessi

Bayesian Statistics, Biostatistics, Biomarker discovery and validation, Graphical models, High-Dimensional data, Imaging-Genetics, Integrative genomics, Personalized medicine, Statistical Bioinformatics, Variable selection, Wavelet-based statistical methods.

Francesco Claudio STINGO

Pubblicazioni

Legenda

Contributo su rivista |

Articolo su libro |

Libro |

Contributo in atti di convegno (proceeding) |

Brevetto |

Curatela | Altro

Altro |

Tesi di Dottorato

Alejandra Avalos Pacheco, Andrea Lazzerini, Monia Lupparelli, Francesco Claudio Stingo (In corso di stampa). A Bayesian Multiple Ising Model. In: Alejandra Avalos Pacheco, Andrea Lazzaroni, Monia Lupparelli, Francesco Claudio Stingo. Proceedings of Bayesian Young Statisticians Meeting, pp. 1-8 Springer.

Lee, Gha Young; Li, Andrew A.; Moon, Intae; Katritsis, Demos; Pantos, Yoannis; Stingo, Francesco; Fabbrico, Davide; Molinaro, Roberto; Taraballi, Francesca; Tao, Wei; Corbo, Claudia (2024). Protein Corona Sensor Array Nanosystem for Detection of Coronary Artery Disease. SMALL, pp. 0-0, ISSN:1613-6810 DOI

Niccolai, Elena; Pedone, Matteo; Martinelli, Ilaria; Nannini, Giulia; Baldi, Simone; Simonini, Cecilia; Di Gloria, Leandro; Zucchi, Elisabetta; Ramazzotti, Matteo; Spezia, Pietro Giorgio; Maggi, Fabrizio; Quaranta, Gianluca; Masucci, Luca; Bartolucci, Gian Luca; Stingo, Francesco Claudio; Mandrioli, Jessica; Amedei, Amedeo (2024). Amyotrophic lateral sclerosis stratification: unveiling patterns with virome, inflammation, and metabolism molecules. JOURNAL OF NEUROLOGY, pp. 0-0, ISSN:0340-5354 DOI

Pedone, Matteo; Argiento, Raffaele; Stingo, Francesco (2024). Personalized treatment selection via product partition models with covariates. BIOMETRICS, vol. 80, pp. 1-11, ISSN:0006-341X DOI

Chekouo, Thierry; Stingo, Francesco C.; Mohammed, Shariq; Rao, Arvind; Baladandayuthapani, Veerabhadran (2023). A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants. THE ANNALS OF APPLIED STATISTICS, vol. 17, pp. 3013-3034, ISSN:1932-6157 DOI

Pedone M.; Amedei A.; Stingo F.C. (2023). SUBJECT-SPECIFIC DIRICHLET-MULTINOMIAL REGRESSION FOR MULTI-DISTRICT MICROBIOTA DATA ANALYSIS. THE ANNALS OF APPLIED STATISTICS, vol. 17, pp. 539-559, ISSN:1932-6157 DOI

Yang Ni, Francesco Stingo, Veerabhadran Baladandayuthapani (2022). Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure. JOURNAL OF MACHINE LEARNING RESEARCH, vol. 23, pp. 1-29, ISSN:1532-4435 Accesso ONLINE all'editore

Tanaka, Ichidai; Dayde, Delphine; Tai, Mei Chee; Mori, Haruki; Solis, Luisa M; Tripathi, Satyendra C; Fahrmann, Johannes F; Unver, Nese; Parhy, Gargy; Jain, Rekha; Parra, Edwin R; Murakami, Yoshiko; Aguilar-Bonavides, Clemente; Mino, Barbara; Celiktas, Muge; Dhillon, Dilsher; Casabar, Julian Phillip; Nakatochi, Masahiro; Stingo, Francesco; Baladandayuthapani, Veera; Wang, Hong; Katayama, Hiroyuki; Dennison, Jennifer B; Lorenzi, Philip L; Do, Kim-Anh; Fujimoto, Junya; Behrens, Carmen; Ostrin, Edwin J; Rodriguez-Canales, Jaime; Hase, Tetsunari; Fukui, Takayuki; Kajino, Taisuke; Kato, Seiichi; Yatabe, Yasushi; Hosoda, Waki; Kawaguchi, Koji; Yokoi, Kohei; Chen-Yoshikawa, Toyofumi F; Hasegawa, Yoshinori; Gazdar, Adi F; Wistuba, Ignacio I; Hanash, Samir; Taguchi, Ayumu (2022). SRGN-Triggered Aggressive and Immunosuppressive Phenotype in a Subset of TTF-1-Negative Lung Adenocarcinomas. JOURNAL OF THE NATIONAL CANCER INSTITUTE, vol. 114, pp. 290-301, ISSN:0027-8874 DOI

Ni Y.; Baladandayuthapani V.; Vannucci M.; Stingo F.C. (2022). Bayesian graphical models for modern biological applications. STATISTICAL METHODS & APPLICATIONS, vol. 31, pp. 197-225, ISSN:1618-2510 DOI

Schweinberger M.; Stingo F.C.; Vitale M.P. (2021). Special issue on statistical analysis of networks: Preface by the guest editors. STATISTICAL METHODS & APPLICATIONS, vol. 30, pp. 1-4-1288, ISSN:1618-2510 DOI

Christine Peterson ; Francesco Stingo (2021). Bayesian Estimation of Single and Multiple Graphs. In: Mahlet G. Tadesse, Marina Vannucci. Handbook of Bayesian Variable Selection, pp. 327-348 Chapman and Hall/CRC, ISBN:9781003089018.

Niccolai E.; Russo E.; Baldi S.; Ricci F.; Nannini G.; Pedone M.; Stingo F.C.; Taddei A.; Ringressi M.N.; Bechi P.; Mengoni A.; Fani R.; Bacci G.; Fagorzi C.; Chiellini C.; Prisco D.; Ramazzotti M.; Amedei A. (2021). Significant and Conflicting Correlation of IL-9 With Prevotella and Bacteroides in Human Colorectal Cancer. FRONTIERS IN IMMUNOLOGY, vol. 11, pp. 1-14, ISSN:1664-3224 DOI Accesso ONLINE all'editore

Baldi S.; Menicatti M.; Nannini G.; Niccolai E.; Russo E.; Ricci F.; Pallecchi M.; Romano F.; Pedone M.; Poli G.; Renzi D.; Taddei A.; Calabro A.S.; Stingo F.C.; Bartolucci G.; Amedei A. (2021). Free fatty acids signature in human intestinal disorders: Significant association between butyric acid and celiac disease. NUTRIENTS, vol. 13, pp. 1-14, ISSN:2072-6643 DOI

Ha M.J.; Stingo F.C.; Baladandayuthapani V. (2021). Bayesian Structure Learning in Multilayered Genomic Networks. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 116, pp. 605-618, ISSN:0162-1459 DOI

Shaddox, Elin; Peterson, Christine B; Stingo, Francesco C; Hanania, Nicola A; Cruickshank-Quinn, Charmion; Kechris, Katerina; Bowler, Russell; Vannucci, Marina (2020). Bayesian inference of networks across multiple sample groups and data types. BIOSTATISTICS, vol. 21, pp. 561-576, ISSN:1465-4644 DOI

Castelletti F.; La Rocca L.; Peluso S.; Stingo F.C.; Consonni G. (2020). Bayesian learning of multiple directed networks from observational data. STATISTICS IN MEDICINE, vol. 39, pp. 4745-4766, ISSN:0277-6715 DOI

Peterson C.B.; Osborne N.; Stingo F.C.; Bourgeat P.; Doecke J.D.; Vannucci M. (2020). Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease. BIOMETRICS, pp. 1-13, ISSN:0006-341X DOI

Chekouo T.; Stingo F.C.; Class C.A.; Yan Y.; Bohannan Z.; Wei Y.; Garcia-Manero G.; Hanash S.; Do K.-A. (2020). Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes. STATISTICAL METHODS IN MEDICAL RESEARCH, vol. 29, pp. 1181-1196, ISSN:0962-2802 DOI Accesso ONLINE all'editore

Andrea Lazzerini; Monia Lupparelli; Francesco C. Stingo (2020). Profile networks for precision medicine. In: SIS 2020, Pearson, pp. 791-796.

Ni Y.; Stingo F.C.; Ha M.J.; Akbani R.; Baladandayuthapani V. (2019). Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 114, pp. 48-60, ISSN:0162-1459 DOI Accesso ONLINE all'editore

Ma J.; Stingo F.C.; Hobbs B.P. (2019). Bayesian personalized treatment selection strategies that integrate predictive with prognostic determinants. BIOMETRICAL JOURNAL, vol. 61, pp. 902-917, ISSN:0323-3847 DOI Accesso ONLINE all'editore

Yang, Ni; Stingo, Francesco C.; Baladandayuthapani, Veerabhadran (2019). Bayesian Graphical Regression. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 114, pp. 184-197, ISSN:0162-1459 DOI

Niccolai E.; Baldi S.; Ricci F.; Russo E.; Nannini G.; Menicatti M.; Poli G.; Taddei A.; Bartolucci G.; Calabro A.S.; Stingo F.C.; Amedei A. (2019). Evaluation and comparison of short chain fatty acids composition in gut diseases. WORLD JOURNAL OF GASTROENTEROLOGY, vol. 25, pp. 5543-5558, ISSN:1007-9327 DOI Accesso ONLINE all'editore

Andrea Lazzerini, Monia Lupparelli, Francesco C. Stingo (2019). Bayesian stochastic search for Ising chain graph models. In: SIS 2019, Pearson, pp. 1-6, ISBN:9788891915108

Scarboro S.B.; Cody D.; Stingo F.C.; Alvarez P.; Followill D.; Court L.; Zhang D.; McNitt-Gray M.; Kry S.F. (2019). Calibration strategies for use of the nanoDot OSLD in CT applications. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, vol. 20, pp. 331-339, ISSN:1526-9914 DOI Accesso ONLINE all'editore

Shaddox, Elin; Stingo, Francesco C; Peterson, Christine B.; Jacobson, Sean; Cruickshank-Quinn, Charmion; Kechris, Katerina; Bowler, Russell; Vannucci, Marina (2018). A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD. STATISTICS IN BIOSCIENCES, vol. 10, pp. 59-85, ISSN:1867-1764 DOI Accesso ONLINE all'editore

Evans LC, Dayton A, Yang C, Liu P, Kurth T, Ahn KW, Komas S, Stingo FC, Laud PW, Vannucci M, Liang M , Cowley A (2018). Transcriptomic analysis reveals inflammatory and metabolic pathways that are regulated by renal perfusion pressure in the outer medulla of Dahl-S rats. PHYSIOLOGICAL GENOMICS, vol. 50, pp. 440-447, ISSN:1094-8341 DOI Accesso ONLINE all'editore

Krafft S, Rao A., Stingo FC, Briere TM, Court L, Liao Z, Martel M (2018). The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis. MEDICAL PHYSICS, vol. 45, pp. 5317-5324, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Lewis DJ, Taylor PA, Followill DS, Sahoo N, Mahajan A, Stingo FC, Kry SF (2018). A New Anthropomorphic Pediatric Spine Phantom for Proton Therapy Clinical Trial Credentialing. INTERNATIONAL JOURNAL OF PARTICLE THERAPY, vol. 4, pp. 20-27, ISSN:2331-5180 DOI

Ma, Junsheng; Hobbs, Brian P; Stingo, Francesco C (2018). Integrating genomic signatures for treatment selection with Bayesian predictive failure time models. STATISTICAL METHODS IN MEDICAL RESEARCH, vol. 27, pp. 2093-2113, ISSN:0962-2802 DOI

Tayob, Nabihah; Stingo, Francesco; Do, Kim-Anh; Lok, Anna S F; Feng, Ziding (2018). A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers. BIOMETRICS, vol. 74, pp. 249-259, ISSN:0006-341X DOI

Niedzielski, Joshua S.; Yang, Jinzhong; Stingo, Francesco; Liao, Zhongxing; Gomez, Daniel; Mohan, Radhe; Martel, Mary; Briere, Tina; Court, Laurence (2017). A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials. SCIENTIFIC REPORTS, vol. 7, pp. 1-9, ISSN:2045-2322 DOI Accesso ONLINE all'editore

Niedzielski, Joshua S.; Yang, Jinzhong; Mohan, Radhe; Titt, Uwe; Mirkovic, Dragan; Stingo, Francesco; Liao, Zhongxing; Gomez, Daniel R.; Martel, Mary K.; Briere, Tina M.; Court, Laurence E. (2017). Differences in Normal Tissue Response in the Esophagus Between Proton and Photon Radiation Therapy for Non-Small Cell Lung Cancer Using In Vivo Imaging Biomarkers. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 99, pp. 1013-1020, ISSN:0360-3016 DOI

Kanagal-shamanna, Rashmi; Hidalgo Lopez, Juliana E.; Milton, Denã¡i R.; Kim, Hye Ryoun; Zhao, Chong; Zuo, Zhuang; Janania Martinez, Michelle; Stingo, Francesco; Lee, John; Luthra, Rajyalakshmi; Jabbour, Elias J.; Garcia-manero, Guillermo; Medeiros, L. Jeffrey; Bueso-ramos, Carlos E. (2017). Validation of the 2016 revisions to the WHO classification in lower-risk myelodysplastic syndrome. AMERICAN JOURNAL OF HEMATOLOGY, vol. 92, pp. E168-E171, ISSN:0361-8609 DOI Accesso ONLINE all'editore

Faught, Jacqueline Tonigan; Balter, Peter A.; Johnson, Jennifer L.; Kry, Stephen F.; Court, Laurence E.; Stingo, FRANCESCO CLAUDIO; Followill, David S. (2017). An FMEA evaluation of intensity modulated radiation therapy dose delivery failures at tolerance criteria levels. MEDICAL PHYSICS, vol. 44, pp. 5575-5583, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Kerns, James R.; Stingo, Francesco; Followill, David S.; Howell, Rebecca M.; Melancon, Adam; Kry, Stephen F. (2017). Treatment Planning System Calculation Errors Are Present in Most Imaging and Radiation Oncology Core-Houston Phantom Failures. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 98, pp. 1197-1203, ISSN:0360-3016 DOI Accesso ONLINE all'editore

Thompson, Philip A.; Stingo, Francesco; Keating, Michael J.; Wierda, William G.; O'Brien, Susan M.; Estrov, Zeev; Ledesma, Celina; Rezvani, Katayoun; Qazilbash, Muzaffar; Shah, Nina; Parmar, Simrit; Popat, Uday; Anderlini, Paolo; Yago, Nieto; Ciurea, Stefan O.; Kebriaei, Partow; Champlin, Richard; Shpall, Elizabeth J.; Hosing, Chitra M (2017). Long-term follow-up of patients receiving allogeneic stem cell transplant for chronic lymphocytic leukaemia: mixed T-cell chimerism is associated with high relapse risk and inferior survival. BRITISH JOURNAL OF HAEMATOLOGY, vol. 177, pp. 567-577, ISSN:0007-1048 DOI Accesso ONLINE all'editore

Alvarez, P; Kry, S.F.; Stingo, F.; Followill, D. (2017). TLD and OSLD dosimetry systems for remote audits of radiotherapy external beam calibration. RADIATION MEASUREMENTS, pp. 1-10, ISSN:1350-4487 DOI Accesso ONLINE all'editore

Ni, Yang; Stingo, Francesco C.; Baladandayuthapani, Veerabhadran (2017). Sparse Multi-dimensional Graphical Models: A Unified Bayesian Framework. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 112, pp. 779-793, ISSN:0162-1459 DOI

Chekouo, Thierry; Stingo, Francesco C; Doecke, James D.; Do, Kim-Anh (2017). A Bayesian integrative approach for multi-platform genomic data: A kidney cancer case study. BIOMETRICS, vol. 73, pp. 615-624, ISSN:0006-341X DOI

Fave, Xenia; Zhang, Lifei; Yang, Jinzhong; Mackin, Dennis; Balter, Peter; Gomez, Daniel; Followill, David; Jones, Aaron Kyle; Stingo, Francesco; Liao, Zhongxing; Mohan, Radhe; Court, Laurence (2017). Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer. SCIENTIFIC REPORTS, vol. 7, pp. 0-0, ISSN:2045-2322 DOI

Mccarroll, Rachel E.; Beadle, Beth M.; Fullen, Danna; Balter, Peter A.; Followill, David S.; Stingo, Francesco C.; Yang, Jinzhong; Court, Laurence E. (2017). Reproducibility of patient setup in the seated treatment position: A novel treatment chair design. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, vol. 18, pp. 223-229, ISSN:1526-9914 DOI Accesso ONLINE all'editore

Chekouo, Thierry; Stingo, Francesco C.; Guindani, Michele; Do, Kim-Anh (2016). A Bayesian predictive model for imaging genetics with application to schizophrenia. THE ANNALS OF APPLIED STATISTICS, vol. 10, pp. 1547-1571, ISSN:1932-6157 DOI

Kerns, James R.; Followill, David S.; Lowenstein, Jessica; Molineu, Andrea; Alvarez, Paola; Taylor, Paige A.; Stingo, Francesco C.; Kry, Stephen F. (2016). Technical Report: Reference photon dosimetry data for Varian accelerators based on IROC-Houston site visit data. MEDICAL PHYSICS, vol. 43, pp. 2374-2386, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Kanagal-Shamanna, Rashmi; Luthra, Rajyalakshmi; Yin, Cameron C.; Patel, Keyur P.; Takahashi, Koichi; Lu, Xinyan; Lee, John; Zhao, Chong; Stingo, Francesco; Zuo, Zhuang; Routbort, Mark J.; Singh, Rajesh R.; Fox, Patricia; Ravandi, Farhad; Garcia-Manero, Guillermo; Jeffrey Medeiros, L.; Bueso-Ramos, Carlos E. (2016). Myeloid neoplasms with isolated isochromosome 17q demonstrate a high frequency of mutations in SETBP1, SRSF2, ASXL1 and NRAS. ONCOTARGET, vol. 7, pp. 14251-14258, ISSN:1949-2553 DOI Accesso ONLINE all'editore

Yang, Jinzhong; Zhang, Lifei; Fave, Xenia J.; Fried, David V.; Stingo, Francesco C.; Ng, Chaan S.; Court, Laurence E. (2016). Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, vol. 48, pp. 1-8, ISSN:0895-6111 DOI Accesso ONLINE all'editore

Niedzielski, Joshua S.; Yang, Jinzhong; Stingo, Francesco; Martel, Mary K.; Mohan, Radhe; Gomez, Daniel R.; Briere, Tina M.; Liao, Zhongxing; Court, Laurence E. (2016). Objectively Quantifying Radiation Esophagitis with Novel Computed Tomography-Based Metrics. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 94, pp. 385-393, ISSN:0360-3016 DOI Accesso ONLINE all'editore

Thompson, Philip A.; Stingo, Francesco; Keating, Michael J.; Ferrajoli, Alessandra; Burger, Jan A.; Wierda, William G.; Kadia, Tapan M.; O'Brien, Susan M (2016). Outcomes of patients with chronic lymphocytic leukemia treated with first-line idelalisib plus rituximab after cessation of treatment for toxicity. CANCER, vol. 122, pp. 2505-2511, ISSN:0008-543X DOI Accesso ONLINE all'editore

Peterson, Christine B; Stingo, Francesco C.; Vannucci, Marina (2016). Joint Bayesian variable and graph selection for regression models with network-structured predictors. STATISTICS IN MEDICINE, vol. 35, pp. 1017-1031, ISSN:0277-6715 DOI Accesso ONLINE all'editore

Cho, Jongmin; Ibbott, Geoffrey S.; Kerr, Matthew D.; Amos, Richard A.; Stingo, Francesco C.; Marom, Edith M.; Truong, Mylene T.; Palacio, Diana M.; Betancourt, Sonia L.; Erasmus, Jeremy J.; Degroot, Patricia M.; Carter, Brett W.; Gladish, Gregory W.; Sabloff, Bradley S.; Benveniste, Marcelo F.; Godoy, Myrna C.; Patil, Shekhar; Sorensen, James; Mawlawi, Osama R. (2016). Characterizing proton-activated materials to develop PET-mediated proton range verification markers. PHYSICS IN MEDICINE AND BIOLOGY, vol. 61, pp. N291-N310, ISSN:0031-9155 DOI Accesso ONLINE all'editore

Ma, Junsheng; Stingo, Francesco C.; Hobbs, Brian P (2016). Bayesian predictive modeling for genomic based personalized treatment selection. BIOMETRICS, vol. 72, pp. 575-583, ISSN:0006-341X DOI

Roszik, Jason; Haydu, Lauren E.; Hess, Kenneth R.; Oba, Junna; Joon, Aron Y.; Siroy, Alan E.; Karpinets, Tatiana V.; Stingo, Francesco C.; Baladandayuthapani, Veera; Tetzlaff, Michael T.; Wargo, Jennifer A.; Chen, Ken; Forget, Marie-Andrée; Haymaker, Cara L.; Chen, Jie Qing; Meric-Bernstam, Funda; Eterovic, Agda K.; Shaw, Kenna R.; Mills, Gordon B.; Gershenwald, Jeffrey E.; Radvanyi, Laszlo G.; Hwu, Patrick; Futreal, P.Andrew; Gibbons, Don L.; Lazar, Alexander J.; Bernatchez, Chantale; Davies, Michael A.; Woodman, Scott E. (2016). Novel algorithmic approach predicts tumor mutation load and correlates with immunotherapy clinical outcomes using a defined gene mutation set. BMC MEDICINE, vol. 14, pp. 1-8, ISSN:1741-7015 DOI Accesso ONLINE all'editore

Huang, Jessie Y.; Followill, David S.; Howell, Rebecca M.; Liu, Xinming; Mirkovic, Dragan; Stingo, Francesco C.; Kry, Stephen F. (2016). Approaches to reducing photon dose calculation errors near metal implants. MEDICAL PHYSICS, vol. 43, pp. 5117-5130, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Carson, Mallory E.; Molineu, Andrea; Taylor, Paige A.; Followill, David S.; Stingo, Francesco C.; Kry, Stephen F (2016). Examining credentialing criteria and poor performance indicators for IROC Houston's anthropomorphic head and neck phantom. MEDICAL PHYSICS, vol. 43, pp. 6491-6496, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Niedzielski, Joshua S.; Yang, Jinzhong; Liao, Zhongxing; Gomez, Daniel R.; Stingo, Francesco; Mohan, Radhe; Martel, Mary K.; Briere, Tina M.; Court, Laurence E. (2016). 18F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 96, pp. 670-678, ISSN:0360-3016 DOI Accesso ONLINE all'editore

Hunter, Luke A; Chen, Yi Pei; Zhang, Lifei; Matney, Jason E; Choi, Haesun; Kry, Stephen F; Martel, Mary K; Stingo, Francesco; Liao, Zhongxing; Gomez, Daniel; Yang, Jinzhong; Court, Laurence E (2016). NSCLC tumor shrinkage prediction using quantitative image features. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, vol. 49, pp. 29-36, ISSN:0895-6111 DOI

Thompson, Philip A.; Tam, Constantine S.; O'Brien, Susan M.; Wierda, William G.; Stingo, Francesco; Plunkett, William; Smith, Susan C.; Kantarjian, Hagop M.; Freireich, Emil J.; Keating, Michael J. (2016). Fludarabine, cyclophosphamide, and rituximab treatment achieves long-Term disease-free survival in IGHV-mutated chronic lymphocytic leukemia. BLOOD, vol. 127, pp. 303-309, ISSN:0006-4971 DOI Accesso ONLINE all'editore

Fave, Xenia; Zhang, Lifei; Yang, Jinzhong; Mackin, Dennis; Balter, Peter; Gomez, Daniel; Followill, David; Jones, A. Kyle; Stingo, Francesco; Court, Laurence E. (2016). Impact of image preprocessing on the volume dependence and prognostic potential of radiomics features in non-small cell lung cancer. TRANSLATIONAL CANCER RESEARCH, vol. 5, pp. 349-363, ISSN:2218-676X DOI Accesso ONLINE all'editore

Scarboro, Sarah B.; Cody, Dianna; Alvarez, Paola; Followill, David; Court, Laurence; Stingo, Francesco C.; Zhang, Di; McNitt-Gray, Michael; Kry, Stephen F. (2015). Characterization of the nanoDot OSLD dosimeter in CT. MEDICAL PHYSICS, vol. 42, pp. 1797-807-1807, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Stingo Francesco; Marchetti Giovanni Maria (2015). Efficient local updates for undirected graphical models. STATISTICS AND COMPUTING, vol. 25, pp. 159-171, ISSN:0960-3174 DOI Accesso ONLINE all'editore

Ni, Yang; Stingo, Francesco C.; Baladandayuthapani, Veerabhadran (2015). Bayesian nonlinear model selection for gene regulatory networks. BIOMETRICS, vol. 71, pp. 585-595, ISSN:0006-341X DOI

Stingo, Francesco C.; Swartz, Michael D.; Vannucci, Marina (2015). A Bayesian approach to identify genes and gene-level SNP aggregates in a genetic analysis of cancer data. STATISTICS AND ITS INTERFACE, vol. 8, pp. 137-151, ISSN:1938-7989 Accesso ONLINE all'editore

Peterson, Christine; Stingo, Francesco C.; Vannucci, Marina (2015). Bayesian Inference of Multiple Gaussian Graphical Models. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 110, pp. 159-174, ISSN:0162-1459 DOI Accesso ONLINE all'editore

Chekouo, Thierry; Stingo, Francesco C.; Doecke, James D.; Do, Kim-Anh (2015). miRNA-target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer. BIOMETRICS, vol. 71, pp. 428-438, ISSN:0006-341X DOI

Ma, Junsheng; Hobbs, Brian P.; Stingo, Francesco C (2015). Statistical Methods for Establishing Personalized Treatment Rules in Oncology. BIOMED RESEARCH INTERNATIONAL, vol. 2015, pp. 1-13, ISSN:2314-6133 DOI Accesso ONLINE all'editore

Thompson, Philip A.; Rozovski, Uri; Keating, Michael J.; Stingo, Francesco; Smith, Susan C.; Wierda, William G.; Falchi, Lorenzo; O'Brien, Susan M.; Estrov, Zeev; Burger, Jan A.; Ferrajoli, Alessandra (2015). The addition of CD20 monoclonal antibodies to lenalidomide improves response rates and survival in relapsed/refractory patients with chronic lymphocytic leukaemia relative to lenalidomide monotherapy - the MD Anderson Cancer Center experience. BRITISH JOURNAL OF HAEMATOLOGY, vol. 171, pp. 281-284, ISSN:0007-1048 DOI Accesso ONLINE all'editore

Fave, Xenia; Cook, Molly; Frederick, Amy; Zhang, Lifei; Yang, Jinzhong; Fried, David; Stingo, Francesco; Court, Laurence (2015). Preliminary investigation into sources of uncertainty in quantitative imaging features. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, vol. 44, pp. 54-61, ISSN:0895-6111 DOI Accesso ONLINE all'editore

Ni, Yang; Marchetti, Giovanni M.; Baladandayuthapani, Veerabhadran; Stingo, Francesco C. (2015). Bayesian approaches for large biological networks. In: Mitra, Riten, Müller, Peter. Nonparametric Bayesian Inference in Biostatistics, pp. 1-21, New-York: Springer, ISBN:978-3-319-19517-9. Accesso ONLINE all'editore

Fave, Xenia; Mackin, Dennis; Yang, Jinzhong; Zhang, Joy; Fried, David; Balter, Peter; Followill, David; Gomez, Daniel; Kyle Jones, A.; Stingo, Francesco; Fontenot, Jonas; Court, Laurence (2015). Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?. MEDICAL PHYSICS, vol. 42, pp. 6784-6797, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Thompson, Philip A; O'Brien, Susan M.; Wierda, William G.; Ferrajoli, Alessandra; Stingo, Francesco; Smith, Susan C.; Burger, Jan A.; Estrov, Zeev; Jain, Nitin; Kantarjian, Hagop M.; Keating, Michael J. (2015). Complex karyotype is a stronger predictor than del(17p) for an inferior outcome in relapsed or refractory chronic lymphocytic leukemia patients treated with ibrutinib-based regimens. CANCER, vol. 121, pp. 3612-3621, ISSN:0008-543X DOI Accesso ONLINE all'editore

Rembach, Alan; Stingo, Francesco C.; Peterson, Christine; Vannucci, Marina; Do, Kim-Anh; Wilson, William J.; Macaulay, S. Lance; Ryan, Timothy M.; Martins, Ralph N.; Ames, David; Masters, Colin L.; Doecke, James D. (2015). Bayesian graphical network analyses reveal complex biological interactions specific to Alzheimer's disease. JOURNAL OF ALZHEIMER'S DISEASE, vol. 44, pp. 917-925, ISSN:1387-2877 DOI Accesso ONLINE all'editore

Huang, Jessie Y.; Kerns, James R.; Nute, Jessica L.; Liu, Xinming; Balter, Peter A.; Stingo, Francesco C.; Followill, David S.; Mirkovic, Dragan; Howell, Rebecca M.; Kry, Stephen F. (2015). An evaluation of three commercially available metal artifact reduction methods for CT imaging. PHYSICS IN MEDICINE AND BIOLOGY, vol. 60, pp. 1047-1067, ISSN:0031-9155 DOI Accesso ONLINE all'editore

Zhang, Liping; Singh, Rajesh R.; Patel, Keyur P.; Stingo, Francesco; Routbort, Mark; You, M. James; Miranda, Roberto N.; Garcia-Manero, Guillermo; Kantarjian, Hagop M.; Medeiros, L. Jeffrey; Luthra, Rajyalakshmi; Khoury, Joseph D (2014). BRAF kinase domain mutations are present in a subset of chronic myelomonocytic leukemia with wild-type RAS. AMERICAN JOURNAL OF HEMATOLOGY, vol. 89, pp. 499-504, ISSN:0361-8609 DOI Accesso ONLINE all'editore

Ni, Yang; Stingo, Francesco C; Baladandayuthapani, Veerabhadran (2014). Integrative bayesian network analysis of genomic data. CANCER INFORMATICS, vol. 13, pp. 39-48, ISSN:1176-9351 DOI

Loghavi, Sanam; Zuo, Zhuang; Ravandi, Farhad; Kantarjian, Hagop M.; Bueso-Ramos, Carlos; Zhang, Liping; Singh, Rajesh R.; Patel, Keyur P.; Medeiros, L. Jeffrey; Stingo, Francesco; Routbort, Mark; Cortes, Jorge; Luthra, Rajyalakshmi; Khoury, Joseph D (2014). Clinical features of de Novo acute myeloid leukemia with concurrent DNMT3A, FLT3 and NPM1 mutations. JOURNAL OF HEMATOLOGY & ONCOLOGY, vol. 7, pp. 1-10, ISSN:1756-8722 DOI Accesso ONLINE all'editore

Doecke, James D.; Chekouo, Thierry T.; Stingo, Francesco; Do, Kim-Anh (2014). miRNA target gene identification: Sourcing miRNA target gene relationships for the analyses of TCGA illumina MiSeq and RNA-Seq hiseq platform data. INTERNATIONAL JOURNAL OF HUMAN GENETICS, vol. 14, pp. 17-22, ISSN:0972-3757 Accesso ONLINE all'editore

Mckenzie, Elizabeth M.; Balter, Peter A.; Stingo, Francesco C.; Jones, Jimmy; Followill, David S.; Kry, Stephen F (2014). Reproducibility in patient-specific IMRT QA. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, vol. 15, pp. 241-251, ISSN:1526-9914 Accesso ONLINE all'editore

Kry, Stephen F; Molineu, Andrea; Kerns, James R.; Faught, Austin M.; Huang, Jessie Y.; Pulliam, Kiley B.; Tonigan, Jackie; Alvarez, Paola; Stingo, Francesco; Followill, David S. (2014). Institutional patient-specific IMRT QA does not predict unacceptable plan delivery. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 90, pp. 1195-1201, ISSN:0360-3016 DOI Accesso ONLINE all'editore

Allen W, Cowley Jr.; Moreno, Carol; Jacob, Howard J.; Peterson, Christine B.; Stingo, Francesco C.; Ahn, Kwang Woo; Liu, Pengyuan; Vannucci, Marina; Laud, Purushottam W.; Reddy, Prajwal; Lazar, Jozef; Evans, Louise; Yang, Chun; Kurth, Theresa; Liang, Mingyu (2014). Characterization of biological pathways associated with a 1.37 Mbp genomic region protective of hypertension in Dahl S rats. PHYSIOLOGICAL GENOMICS, vol. 46, pp. 398-410, ISSN:1094-8341 DOI Accesso ONLINE all'editore

Wang, Sa A; Hasserjian, Robert P.; Fox, Patricia S.; Rogers, Heesun J.; Geyer, Julia T.; Chabot-Richards, Devon; Weinzierl, Elizabeth; Hatem, Joseph; Jaso, Jesse; Kanagal-Shamanna, Rashmi; Stingo, Francesco C.; Patel, Keyur P.; Mehrotra, Meenakshi; Bueso-Ramos, Carlos; Young, Ken H.; Dinardo, Courtney D.; Verstovsek, Srdan; Tiu, Ramon V.; Bagg, Adam; Hsi, Eric D.; Arber, Daniel A.; Foucar, Kathryn; Luthra, Raja; Orazi, Attilio (2014). Atypical chronic myeloid leukemia is clinically distinct from unclassifiable myelodysplastic/myeloproliferative neoplasms. BLOOD, vol. 123, pp. 2645-2651, ISSN:0006-4971 DOI Accesso ONLINE all'editore

Huang, Jessie; Kerns, James; Nute, Jessica; Liu, Xinming; Stingo, Francesco; Followill, David; Mirkovic, Dragan; Howell, Rebecca; Kry, Stephen (2014). Evaluation of three commercial metal artifact reduction methods for CT simulations in radiation therapy. INTERNATIONAL JOURNAL OF CANCER THERAPY AND ONCOLOGY, vol. 2, pp. 1-2, ISSN:2330-4049 DOI

Mckenzie, Elizabeth M; Balter, Peter A.; Stingo, Francesco C.; Jones, Jimmy; Followill, David S.; Kry, Stephen F. (2014). Toward optimizing patient-specific IMRT QA techniques in the accurate detection of dosimetrically acceptable and unacceptable patient plans. MEDICAL PHYSICS, vol. 41, pp. 1-15, ISSN:0094-2405 DOI Accesso ONLINE all'editore

Ok, C.Y.; Hasserjian, R.P.; Fox, P.S.; Stingo, F.; Zuo, Z.; Young, K.H.; Patel, K.; Medeiros, L.J.; Garcia-Manero, G.; Wang, S.A. (2014). Application of the international prognostic scoring System-Revised in therapy-related myelodysplastic syndromes and oligoblastic acute myeloid leukemia. LEUKEMIA, vol. 28, pp. 185-189, ISSN:0887-6924 DOI

Lewis, Dana; Summers, Paige; Followill, David; Sahoo, Narayan; Mahajan, Anita; Stingo, Francesco; Kry, Stephen (2014). Development and implementation of an anthropomorphic pediatric spine phantom for the assessment of craniospinal irradiation procedures in proton therapy. INTERNATIONAL JOURNAL OF CANCER THERAPY AND ONCOLOGY, vol. 2, pp. 1-2, ISSN:2330-4049 DOI

Hunter, Luke A.; Krafft, Shane; Stingo, Francesco; Choi, Haesun; Martel, Mary K.; Kry, Stephen F.; Court, Laurence E (2013). High quality machine-robust image features: Identification in nonsmall cell lung cancer computed tomography images. MEDICAL PHYSICS, vol. 40, pp. 1-12, ISSN:0094-2405 DOI

Peterson, Christine B; Stingo, Francesco C. (2013). Comment on article by Scutari. BAYESIAN ANALYSIS, vol. 8, pp. 539-542, ISSN:1936-0975 DOI Accesso ONLINE all'editore

Stingo, Francesco; Vannucci, Marina (2013). Bayesian Models for Integrative Genomics. In: K-A Do, ZS Qin, M Vannucci. Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data, pp. 272-291 Cambridge University Press. DOI

Stingo, Francesco C.; Guindani, Michele; Vannucci, Marina; Calhoun, Vince D. (2013). An integrative Bayesian modeling approach to imaging genetics. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 108, pp. 876-891, ISSN:0162-1459 DOI

Yang, Chun; Stingo, Francesco C.; Ahn, Kwang Woo; Liu, Pengyuan; Vannucci, Marina; Laud, Purushottam W.; Skelton, Meredith; O'Connor, Paul; Kurth, Terry; Ryan, Robert P.; Moreno, Carol; Tsaih, Shirng-Wern; Patone, Giannino; Hummel, Oliver; Jacob, Howard J.; Liang, Mingyu; Allen W., Cowley Jr. (2013). Increased proliferative cells in the medullary thick ascending limb of the loop of henle in the dahl salt-sensitive rat. HYPERTENSION, vol. 61, pp. 208-215, ISSN:0194-911X DOI

F.C. Stingo; M. Vannucci; G. Downey (2012). BAYESIAN WAVELET-BASED CURVE CLASSIFICATION VIA DISCRIMINANT ANALYSIS WITH MARKOV RANDOM TREE PRIORS. STATISTICA SINICA, vol. 22, pp. 465-488, ISSN:1017-0405 DOI

M. Vannucci; F.C. Stingo; C. Berzuini (2012). Bayesian Models for Variable Selection that Incorporate Biological Information (with discussion). In: Valencia 9, Oxford: University Press, vol. Bayesian Statistics 9 (J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid, D. Heckerman, A.F.M. Smith and M. West eds.), pp. 659-678.

F.C. Stingo; E. Stanghellini; R. Capobianco (2011). On the estimation of a binary response model in a selected population. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, vol. 141, pp. 3293-3303, ISSN:0378-3758 DOI

F.C. Stingo; M. Vannucci (2011). Variable Selection for Discriminant Analysis with Markov RandomField Priors for the Analysis of Microarray Data. BIOINFORMATICS, vol. 27 (4), pp. 495-501, ISSN:1367-4803

F.C. Stingo; Y.A. Chen; M.G. Tadesse; M. Vannucci (2011). Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes. THE ANNALS OF APPLIED STATISTICS, vol. 5, pp. 1978-2002, ISSN:1932-6157

F. C. Stingo (2010). Bayesian Methods for Data Integration with VariableSelection: New Challenges in the Analysis of GenomicData. (Tutor: G.M. Marchetti)

F.C. Stingo; Y.A. Chen; M. Vannucci; M. Barrier; P.E. Mirkes (2010). A Bayesian Graphical Modeling Approach to MicroRNA Regulatory Network Inference. THE ANNALS OF APPLIED STATISTICS, vol. 4(4), pp. 2024-2048, ISSN:1932-6157

Francesco Claudio STINGO

Biography

I am a Professor of Statistics in the Department of Statistics, Computer Science, Applications “G. Parenti” at the University of Florence. I obtained a PhD in Applied Statistics in 2010 (thesis awarded by the Italian Statistical Society as the best doctoral thesis in Applied Statistics in the years 2009-2010). Before moving to the University of Florence, I worked at Rice University (USA) for three years in the Statistics department and subsequently in the Biostatistics department of the University of Texas MD Anderson Cancer Center (USA), where I held the position of Assistant Professor for 5 years.

I have published more than 80 articles in international journals (including the Journal of the American Statistical Association, Journal of Machine Learning Research, Biometrics, Annals of Applied Statistics, Statistics in Medicine, Statistics and Computing) and have been invited as a speaker at more than 40 national and international conferences. My project "Understanding genomic networks in pan-cancer and multi-platform data: novel Bayesian methods for multiple and matrix-variate networks" was funded by MIUR in the context of the "Rita Levi Montalcini" program for the recruitment of young researchers; I received an Honorable Mention for the 2021 Young Scholars Award for Contributions to Statistical Disciplines from the Italian Society of Statistics.

My main research interests concern methodological aspects relating to Bayesian models for the analysis of large data (graphical models, hierarchical models, variable selection, non-linear models), with applications in the bio-medical field (genomics, personalized medicine, early diagnosis, image data).

Francesco Claudio STINGO

Curriculum

Personal website: https://sites.google.com/site/fcstingo/