My research focuses on developing computationally efficient Bayesian Statistical models applicable for complex datasets, especially in Genomics. At the heart of my work lies the pursuit of scalable Bayesian methods designed for the integration of multi-omic data, allowing us to delve into the intricate regulatory mechanisms governing human traits and diseases. A particular focus of my research revolves around exploring how disease mechanisms vary across individuals of different ages and sexes. This line of inquiry seeks to uncover the nuances in disease etiology and progression, ultimately guiding the design of personalized medical interventions that can significantly impact patient outcomes.
My research interests include:
Bayesian Statistics
Machine Learning
Computational Biology
SEAHORSE: A Serendipity Engine Assaying Heterogeneous Omics-Related Sampling Experiments
A Quackenbush, J Kolluri, R Biju, S Nhong, D DeConti, J Quackenbush, ...
bioRxiv, 2025.08. 15.670514
Sex-biased regulation of extracellular matrix genes in chronic obstructive pulmonary disease
CM Lopes-Ramos, KH Shutta, MH Ryu, Y Huang, E Saha, J Ziniti, ...
American Journal of Respiratory Cell and Molecular Biology 72 (1), 72-81
P Olejua, E Saha, R Ghosal, R Bai, A McLain
E Saha, M Ben Guebila, V Fanfani, KH Shutta, DL DeMeo, ...
npj Aging 11 (1), 61
C Chen, E Saha, J Fischer, M Ben Guebila, V Fanfani, K Shutta, M Padi, ...
bioRxiv, 2025.02. 03.636354
Bayesian inference of sample-specific coexpression networks
E Saha, V Fanfani, P Mandros, MB Guebila, J Fischer, KH Shutta, ...
Genome Research, gr. 279117.124
Gene regulatory networks reveal sex difference in lung adenocarcinoma
E Saha, M Ben Guebila, V Fanfani, J Fischer, KH Shutta, P Mandros, ...
Biology of Sex Differences 15 (1), 62
SE Cho, E Saha, M Matabuena, J Wei, R Ghosal
Annals of Epidemiology 99, 24-31
P Mandros, I Gallagher, V Fanfani, C Chen, J Fischer, A Ismail, L Hsu, ...
bioRxiv
BONOBO: Bayesian Optimized Sample-Specific Networks Obtained by Omics Data
E Saha, V Fanfani, P Mandros, M Ben-Guebila, J Fischer, KH Shutta, ...
International Conference on Research in Computational Molecular Biology, 328-331
C Chen, E Saha, DL DeMeo, J Quackenbush, CM Lopes-Ramos
Cancer Research 84 (6_Supplement), 3490-3490
J Fischer, KH Shutta, C Chen, V Fanfani, E Saha, P Mandros, ...
bioRxiv, 2024.09. 19.613876
Reproducible processing of TCGA regulatory networks
V Fanfani, KH Shutta, P Mandros, J Fischer, E Saha, S Micheletti, C Chen, ...
bioRxiv, 2024.11. 05.622163
E Saha, R Ghosal
Annals of Epidemiology 86, 110-118. e4
Theory of posterior concentration for generalized Bayesian additive regression trees
E Saha
arXiv preprint arXiv:2304.12505
The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks
M Ben Guebila, T Wang, CM Lopes-Ramos, V Fanfani, D Weighill, ...
Genome Biology 24 (1), 45
Impact of the COVID-19 induced lockdown measures on PM2. 5 concentration in USA
R Ghosal, E Saha
Atmospheric Environment 254, 118388
Flexible Bayesian Methods for High Dimensional Data
E Saha
The University of Chicago
V Ročková, E Saha
The 22nd international conference on artificial intelligence and statistics …
Dynamic sparse factor analysis
K McAlinn, V Rocková, E Saha
arXiv preprint arXiv:1812.04187
Some high-dimensional one-sample tests based on functions of interpoint distances
E Saha, S Sarkar, AK Ghosh
Journal of Multivariate Analysis 161, 83-95
E Saha, A Hazra, P Banik
Mausam 67 (4), 841-848