Mining personalized medicine algorithms with surrogate algorithm tags. - Chih-Lin Chi; Peter J. Kos; Vincent A. Fusaro; Rimma Pivovarov; Prasad Patil; Peter J. Tonellato (IHI, 2010)

Cloud computing for comparative genomics. - Dennis P. Wall; Parul Kudtarkar; Vincent A. Fusaro; Rimma Pivovarov; Prasad Patil; Peter J. Tonellato (BMC Bioinform., 2010)

Biomedical Cloud Computing With Amazon Web Services. - Vincent A. Fusaro; Prasad Patil; Erik Gafni; Dennis P. Wall; Peter J. Tonellato (PLoS Comput. Biol., 2011)

Test set bias affects reproducibility of gene signatures. - Prasad Patil; Pierre-Olivier Bachant-Winner; Benjamin Haibe-Kains; Jeffrey T. Leek (Bioinform., 2015)

Discussion of "visualizing statistical models: Removing the blindfold". - Prasad Patil; Jeffrey T. Leek (Stat. Anal. Data Min., 2015)

Evaluation of SMART-on-FHIR I2b2 cell using PCORNET data model. - Kavishwar B. Wagholikar; Rahul Jain; Eliel Oliveira; Joshua C. Mandel; Jeffrey G. Klann; Prasad Patil; Kenneth D. Mandl; Shawn N. Murphy; Thomas Carton (AMIA, 2016)

Evolving Research Data Sharing Networks to Clinical App Sharing Networks. - Kavishwar B. Wagholikar; Rahul Jain; Eliel Oliveira; Joshua C. Mandel; Jeffrey G. Klann; Ricardo Colas; Prasad Patil; Kuladip Yadav; Kenneth D. Mandl; Shawn N. Murphy (CRI, 2017)

Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects. - Zoe Guan; Giovanni Parmigiani; Prasad Patil (CoRR, 2019)

Towards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilities. - Maya Howes Gupta; Ali Abdolrahmani; Emory James Edwards; Mayra Cortez; Andrew Tumang; Yasmin Majali; Marc Lazaga; Samhitha Tarra; Prasad Patil; Ravi Kuber; Stacy M. Branham (CHI, 2020)

Tree-Weighting for Multi-Study Ensemble Learners. - Maya Ramchandran; Prasad Patil; Giovanni Parmigiani (PSB, 2020)

Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations. - Zhun Deng; Frances Ding; Cynthia Dwork; Rachel Hong; Giovanni Parmigiani; Prasad Patil; Pragya Sur (CoRR, 2020)

Robustifying genomic classifiers to batch effects via ensemble learning. - Yuqing Zhang; Prasad Patil; W. Evan Johnson; Giovanni Parmigiani (Bioinform., 2021)

Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling. - Cathy Shyr; Pragya Sur; Giovanni Parmigiani; Prasad Patil (CoRR, 2022)

A pairwise strategy for imputing predictive features when combining multiple datasets. - Yujie Wu; Boyu Ren; Prasad Patil (Bioinform., 2023)