Using Pre-existing Microarray Datasets to Increase Experimental Power: Application to Insulin Resistance. - Bernie J. Daigle Jr.; Alicia Deng; Tracey McLaughlin; Samuel W. Cushman; Margaret C. Cam; Gerald Reaven; Philip S. Tsao; Russ B. Altman (PLoS Comput. Biol., 2010)

Cloud-based interactive analytics for terabytes of genomic variants data. - Cuiping Pan; Gregory McInnes; Nicole Deflaux; Michael Snyder 001; Jonathan Bingham; Somalee Datta; Philip S. Tsao (Bioinform., 2017)

Transfer learning enables prediction of CYP2D6 haplotype function. - Gregory McInnes; Rachel Dalton; Katrin Sangkuhl; Michelle Whirl Carrillo; Seung-been Lee; Philip S. Tsao; Andrea Gaedigk; Russ B. Altman; Erica L. Woodahl (PLoS Comput. Biol., 2020)

Hummingbird: efficient performance prediction for executing genomic applications in the cloud. - Amir Bahmani; Ziye Xing; Vandhana Krishnan; Utsab Ray; Frank Mueller 001; Amir Alavi; Philip S. Tsao; Michael P. Snyder; Cuiping Pan (Bioinform., 2021)

A statistical quality assessment method for longitudinal observations in electronic health record data with an application to the VA million veteran program. - Hui Wang; Ilana Belitskaya-Levy; Fan Wu; Jennifer S. Lee; Mei-Chiung Shih; Philip S. Tsao; Ying Lu 006 (BMC Medical Informatics Decis. Mak., 2021)

Swarm: A federated cloud framework for large-scale variant analysis. - Amir Bahmani; Kyle Ferriter; Vandhana Krishnan; Arash Alavi 003; Amir Alavi; Philip S. Tsao; Michael P. Snyder; Cuiping Pan (PLoS Comput. Biol., 2021)