Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease. - Chirag J. Patel; Rong Chen 006; Atul J. Butte (Bioinform., 2012)

Invited Speakers. - Chirag J. Patel; Yotam Heineberg (AAAI Spring Symposium: Data Driven Wellness, 2013)

Development of Exposome Correlations Globes to Map Out Environment-Wide Associations. - Chirag J. Patel; Arjun K. Manrai (Pacific Symposium on Biocomputing, 2015)

aRrayLasso: a network-based approach to microarray interconversion. - Adam S. Brown; Chirag J. Patel (Bioinform., 2015)

Session Introduction. - Arjun K. Manrai; Chirag J. Patel; Nils Gehlenborg; Nicholas P. Tatonetti; John P. A. Ioannidis; Isaac S. Kohane (PSB, 2016)

Reproducible and Shareable Quantifications of Pathogenicity. - Arjun K. Manrai; Brice L. Wang; Chirag J. Patel; Isaac S. Kohane (PSB, 2016)

Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks. - Benjamin S. Glicksberg; Li Li 062; Marcus A. Badgeley; Khader Shameer; Roman Kosoy; Noam D. Beckmann; Nam Pho; Jörg Hakenberg; Meng Ma; Kristin L. Ayers; Gabriel E. Hoffman; Shuyu Dan Li; et al. (Bioinform., 2016)

ksRepo: a generalized platform for computational drug repositioning. - Adam S. Brown; Sek Won Kong; Isaac S. Kohane; Chirag J. Patel (BMC Bioinform., 2016)

Session Introduction. - Konrad J. Karczewski; Nicholas P. Tatonetti; Chirag J. Patel; Arjun K. Manrai; C. Titus Brown; John P. A. Ioannidis (PSB, 2017)

MeSHDD: Literature-based drug-drug similarity for drug repositioning. - Adam S. Brown; Chirag J. Patel (J. Am. Medical Informatics Assoc., 2017)

A review of validation strategies for computational drug repositioning. - Adam S. Brown; Chirag J. Patel (Briefings Bioinform., 2018)

Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API. - Alba Gutiérrez-Sacristán; Romain Guedj; Gabor Korodi; Jason Stedman; Laura Inés Furlong; Chirag J. Patel; Isaac S. Kohane; Paul Avillach (Bioinform., 2018)

Aether: leveraging linear programming for optimal cloud computing in genomics. - Jacob M. Luber; Braden T. Tierney; Evan M. Cofer; Chirag J. Patel; Aleksandar D. Kostic (Bioinform., 2018)

Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services. - Inès Krissaane; Carlos De Niz; Alba Gutiérrez-Sacristán; Gabor Korodi; Nneka Ede; Ranjay Kumar; Jessica Lyons; Arjun K. Manrai; Chirag J. Patel; Isaac S. Kohane; Paul Avillach (J. Am. Medical Informatics Assoc., 2020)

A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. - Alan Le Goallec; Braden T. Tierney; Jacob M. Luber; Evan M. Cofer; Aleksandar D. Kostic; Chirag J. Patel (PLoS Comput. Biol., 2020)

What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health. - Kristin Passero; Shefali Setia Verma; Kimberly McAllister; Arjun K. Manrai; Chirag J. Patel; Molly A. Hall (PSB, 2021)

Empowering clinical research in a decentralized world. - Walter De Brouwer; Chirag J. Patel; Arjun K. Manrai; Isaac R. Rodriguez-Chavez; Nirav R. Shah (npj Digit. Medicine, 2021)

A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease. - Bryan Andrews; Chirayu Wongchokprasitti; Shyam Visweswaran; Chirag M. Lakhani; Chirag J. Patel; Gregory F. Cooper (Artif. Intell. Medicine, 2023)

Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data. - Ayush Singla; Shakson Isaac; Chirag J. Patel (ML4H@NeurIPS, 2024)

PYPE: A pipeline for phenome-wide association and Mendelian randomization in investigator-driven biobank scale analysis. - Taykhoom Dalal; Chirag J. Patel (Patterns, 2024)