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CPT: Pharmacometrics & Systems Pharmacology|September 24, 2017
Leveraging Population-Based Clinical Quantitative Phenotyping for Drug RepositioningAdam S Brown, Danielle Rasooly, Chirag J PatelCurrent Protocols in Human Genetics|January 16, 2019
Conducting a Reproducible Mendelian Randomization Analysis Using the R Analytic Statistical EnvironmentDanielle Rasooly, Chirag J PatelBriefings in Bioinformatics|November 25, 2016
A review of validation strategies for computational drug repositioningAdam S Brown, Chirag J PatelScientific Data|March 15, 2017
A standard database for drug repositioningAdam S Brown, Chirag J PatelJournal of the American Medical Informatics Association : JAMIA|September 29, 2016
MeSHDD: Literature-based drug-drug similarity for drug repositioningAdam S Brown, Chirag J PatelBioinformatics (Oxford, England)|August 19, 2015
aRrayLasso: a network-based approach to microarray interconversionAdam S Brown, Chirag J PatelPublic Health Genomics|October 6, 2022
The Joint Public Health Impact of Family History of Diabetes and Cardiovascular Disease among Adults in the United States: A Population-Based StudyDanielle Rasooly, Quanhe Yang, Ramal Moonesinghe, et al.American Journal of Epidemiology|June 8, 2019
Family History-Wide Association Study to Identify Clinical and Environmental Risk Factors for Common Chronic DiseasesDanielle Rasooly, John P A Ioannidis, Muin J Khoury, et al.Diabetes Care|February 10, 2021
Comparisons of Polyexposure, Polygenic, and Clinical Risk Scores in Risk Prediction of Type 2 DiabetesYixuan He, Chirag M Lakhani, Danielle Rasooly, et al.BMC Bioinformatics|February 11, 2016
ksRepo: a generalized platform for computational drug repositioningAdam S Brown, Sek Won Kong, Isaac S Kohane, et al.Pageof 20