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binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions., , , , , , and . BMC Bioinform., 21 (1): 374 (2020)Single subject transcriptome analysis to identify functionally signed gene set or pathway activity., , , , and . PSB, page 400-411. (2018)Computational Challenges and Artificial Intelligence in Precision Medicine., , , , , , , and . PSB, WorldScientific, (2021)Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes., , , , , and . Briefings Bioinform., 20 (3): 789-805 (2019)'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases., , , , , , and . Bioinform., 37 (Supplement): 67-75 (2021)Precision drug repurposing via convergent eQTL-based molecules and pathway targeting independent disease-associated polymorphisms., , , , , , and . PSB, page 308-319. (2019)Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes., , , , , , , , and . AMIA, AMIA, (2019)Reading between the genes: interpreting non-coding DNA in high-throughput., , , , , and . PSB, page 444-448. (2019)Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions., , , , , , and . BMC Bioinform., 21 (1): 495 (2020)The mouse Gene Expression Database (GXD): 2014 update., , , , , , , , , and 7 other author(s). Nucleic Acids Res., 42 (Database-Issue): 818-824 (2014)