Correcting population stratification in genetic association studies using a phylogenetic approach. - Mingyao Li; Muredach P. Reilly; Daniel J. Rader; Li-San Wang (Bioinform., 2010)

Text mining applied to electronic cardiovascular procedure reports to identify patients with trileaflet aortic stenosis and coronary artery disease. - Aeron M. Small; Daniel H. Kiss; Yevgeny Zlatsin; David L. Birtwell; Heather Williams; Marie A. Guerraty; Yuchi Han; Saif Anwaruddin; John H. Holmes; Julio A. Chirinos; Robert L. Wilensky; Jay Giri; et al. (J. Biomed. Informatics, 2017)

Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease. - Jing Ma; Alla Karnovsky; Farsad Afshinnia; Janis E. Wigginton; Daniel J. Rader; Loki Natarajan; Kumar Sharma; Anna C. Porter; Mahboob Rahman; Jiang He; Lee Hamm; Tariq Shafi; et al. (Bioinform., 2019)

A regression framework to uncover pleiotropy in large-scale electronic health record data. - Ruowang Li; Rui Duan 004; Daniel J. Rader; Scott M. Damrauer; Jason H. Moore; Yong Chen 016 (J. Am. Medical Informatics Assoc., 2019)

Finding missed cases of familial hypercholesterolemia in health systems using machine learning. - Juan M. Banda; Ashish Sarraju; Fahim Abbasi; Justin Parizo; Mitchel Pariani; Hannah Ison; Elinor Briskin; Hannah Wand; Sébastien Dubois; Kenneth Jung; Seth A. Myers; Daniel J. Rader; et al. (npj Digit. Medicine, 2019)

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. - Matthew T. MacLean; Qasim Jehangir; Marijana Vujkovic; Yi-An Ko; Harold Litt; Arijitt Borthakur; Hersh Sagreiya; Mark Rosen; David A. Mankoff; Mitchell D. Schnall; Haochang Shou; Julio A. Chirinos; et al. (J. Am. Medical Informatics Assoc., 2021)

MitoScape: A big-data, machine-learning platform for obtaining mitochondrial DNA from next-generation sequencing data. - Larry N. Singh; Brian Ennis; Bryn Loneragan; Noah L. Tsao; M. Isabel G. Lopez Sanchez; Jianping Li; Patrick Acheampong; Oanh Tran; Ian A. Trounce; Yuankun Zhu; Prasanth Potluri; Regeneron Genetics Center; et al. (PLoS Comput. Biol., 2021)

Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (CoRR, 2022)

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (PRIME@MICCAI, 2023)

Enriched phenotypes in rare variant carriers suggest pathogenic mechanisms in rare disease patients. - Lane Fitzsimmons; Maria T. Acosta; David R. Adams; Ben Afzali; Ali Al-Beshri; Eric Allenspach; Aimee Allworth; Raquel L. Alvarez; Justin Alvey; Ashley Andrews; Euan A. Ashley; Carlos A. Bacino; et al. (BioData Min., 2025)