Paola Sebastiani

Associate Professor, Biostatistics
Biostatistics

University of Rome, La Sapienza, Italy, PhD

University College London, MSc

 

Office: Crosstown Center, CT317

Phone: (617)638-5877

sebas AT bu.edu


Research Interests:

Bayesian data analysis
  • Bayesian networks
  • Diagnostics

Time series
  • Clustering
  • Incremental modeling

Bayesian methods in bioinformatics
  • Analysis of gene expression data
  • Gene temporal profiling
  • SNPs analysis
     

Selected Publications:

M. Montano, M. Rarick, P. Sebastiani, P. Brinkmann, J. Skefos and R. Ericksen HIV-1 burden influences host response to co-infection with Neisseria gonorrhoeae in vitro. International Journal of Immunity 125-137

L. Wang, M. F. Ramoni and P. Sebastiani Clustering Short Gene Expression Profiles. Lecture Notes in Computer Science: Research in Computational Molecular Biology: 10th Annual International Conference, RECOMB 2006, Venice, Italy, April 2-5, 2006. Proceedings. 60-68

M. M. Abad and P. Sebastiani Bayesian correction for SNP ascertainment bias. Lecture Notes in Computer Science: Modeling Decisions for Artificial Intelligence: Third International Conference, MDAI 2006, Tarragona, Spain, April 3-5, 2006. Proceedings . 262--273

P. Sebastiani, J. Jeneralcuk and M. F. Ramoni Design and Analysis of Screening Experiments with Microarrays. Screening 115-138

V Nolan, M Wilcox, P Sebastiani, C Baldwin et al Gene-gene interaction and the pathophysiology of sickle cell disease: modeling the effect of SNPs on sickle cell-associated vaso-occlusive events using classification and regression trees and stochastic gradient boosting Blood. Supplement: Proceedings of the 47th ASH conference 889a

P. Sebastiani, M Abad and M Ramoni Bayesian Networks. The Data Mining and Knowledge Discovery Handbook 193-230

P. Sebastiani, C. T. Baldwin, V. Nolan, D. F. Wyszynski, Q. Ma, J. Farrell, A. Bisbee, Polymorphisms (SNPs) in multiple genes of the TGF-BMP pathway are associated with a global measure of sickle cell disease severity. Blood. Supplement: Proceedings of the 47 th ASH Annual Meeting. 26a

C. T. Baldwin, V. G. Nolan, D. F. Wyszynski, Q. Ma, P. Sebastiani, S. H. Embury, A. Association of Klotho, Bone Morphogenic Protein 6 and Annexin A2 Polymorphisms with Sickle Cell Osteonecrosis Blood 372--375

P. Sebastiani, M. F. Ramoni, V. Nolan, C. T Baldwin, M. H. Steinberg Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia Nature Genetics 435--440

P. Sebastiani M. Abad and M. F. Ramoni Bayesian Networks for Genomic Analysis Genomic Signal Processing and Statistics 281--320

P. Sebastiani, M. Abad, G. Alpargu and M. F. Ramoni Robust Transmissio/ Disequilibrium Test for Incomplete Family Genotypes Genetics 2329-2337

P. Sebastiani, V. Nolan, C. T. Baldwin and M. H. Steinberg Modeling Phenotype Interactions in Sickle Cell Anemia. Blood. Supplement: Proceedings of the 46th ASH Annual Meeting. 460

P. Sebastiani, M. F Ramoni, V. Nolan, C. T. Baldwin and M. H. Steinberg Multigenic Dissection and Prognostic Modeling of Overt Stroke in Sickle Cell Anemia. Blood. Supplement: Proceedings of the 46th ASH Annual Meeting. 462

P. Sebastiani, L. Wang, K. D. Mandl and M. F. Ramoni Improving Outbreak Detection by Signal Integration MMWR: Mortality and Morbidity Weekly Reports 57

K. Mandl, J. M. Overhage, M. M. Wagner, W. L. Lober, P. Sebastiani et al. Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience. J Am Med Inform Assoc. Association. 141-150

M. F. Ramoni and P. Sebastiani Bayesian Methods in Intelligent Data Analysis. Intelligent Data Analysis. An Introduction. 131-168

P. Sebastiani, E. Gussoni, I. S. Kohane and M. F. Ramoni Rejoinder. Statist. Sci. 69-70

P. Sebastiani, I. S. Kohane and M. F. Ramoni Machine Learning in the Genomics Era. Editorial to the special issue Methods in Functional Genomics. Mach. Learn. J 5-9

P. Sebastiani, M. F. Ramoni and I. S. Kohane Bayesian Clustering of Gene Expression Dynamics. The Analysis of Gene Expression Data: Methods and Software. 400-427

P. Sebastiani, Y. H. Yu, and M. F. Ramoni Bayesian Machine Learning and Its Potential Applications to the Genomic Study of Oral Oncology. Adv. Dent. Res. 104-108

P. Sebastiani, R. Lazarus, S. T. Weiss, L. M. Kunkel, I. S. Kohane and M. F. Ramoni Minimal Haplotype Tagging. Proc Natl Acad Sci U S A. 17 9900-5

P. Sebastiani, E. Gussoni, I. S. Kohane and M. F. Ramoni Statistical Challenges in Functional Genomics. Statist. Sci. 33-60

T. Rath, M. Carreras and P. Sebastiani Automated Detection of Influenza Epidemics with Hidden Markov Models. Proceedings of the Fifth International Symposium on Intelligent Data Analysis. 521-531
 
 

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http://sph.bu.edu/index.php?option=com_sphdir&id=239&Itemid=340&INDEX=11326

http://people.bu.edu/sebas/