Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing. - Erin E. Kennedy; Anahita Davoudi; Sy Hwang; Ryan J. Urbanowicz; Philip J. Freda; Kathryn H. Bowles; Danielle L. Mowery (AMIA, 2022)

Novel digital approaches to the assessment of problematic opioid use. - Philip J. Freda; Henry R. Kranzler; Jason H. Moore (BioData Min., 2022)

Automated quantitative trait locus analysis (AutoQTL). - Philip J. Freda; Attri Ghosh; Elizabeth Zhang; Tianhao Luo; Apurva S. Chitre; Oksana Polesskaya; Celine L. St. Pierre; Jianjun Gao 004; Connor D. Martin; Hao Chen; Angel G. Garcia-Martinez; Tengfei Wang; et al. (BioData Min., 2023)

Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis. - Sandra Batista; Vered Madar; Philip J. Freda; Priyanka Bhandary; Attri Ghosh; Nicholas Matsumoto; Apurva S. Chitre; Abraham A. Palmer; Jason H. Moore (BioData Min., 2024)

PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies. - Philip J. Freda; Attri Ghosh; Priyanka Bhandary; Nicholas Matsumoto; Apurva S. Chitre; Jiayan Zhou; Molly A. Hall; Abraham A. Palmer; Tayo Obafemi-Ajayi; Jason H. Moore (BioData Min., 2024)

Assessing the limitations of relief-based algorithms in detecting higher-order interactions. - Philip J. Freda; Suyu Ye; Robert Zhang 004; Jason H. Moore; Ryan J. Urbanowicz (BioData Min., 2024)

Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis. - Zhendong Sha; Philip J. Freda; Priyanka Bhandary; Attri Ghosh; Nicholas Matsumoto; Jason H. Moore; Ting Hu 001 (BioData Min., 2024)

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis. - Jose Guadalupe Hernandez; Attri Ghosh; Philip J. Freda; Yufei Meng; Nicholas Matsumoto; Jason H. Moore (CoRR, 2025)