Systems of Phenome-Exposome Associations Unveiled by Mining Practice-Based Evidence with Environmental Exposures. - Jung-wei Fan; Samir Rachid Zaim; Walter W. Piegorsch; Jianrong Li; Colleen Kenost; Yves A. Lussier (AMIA, 2018)

Emergence of pathway-level composite biomarkers from converging gene set signals of heterogeneous transcriptomic responses. - Samir Rachid Zaim; Qike Li; A. Grant Schissler; Yves A. Lussier (PSB, 2018)

Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes. - Qike Li; Samir Rachid Zaim; Dillon Aberasturi; Joanne Berghout; Haiquan Li; Francesca Vitali; Colleen Kenost; Hao Helen Zhang; Yves A. Lussier (AMIA, 2019)

DSL-TEACH: Data Science Literacy Training to Enhance Approaches for Clinical decision-making in Healthcare. - Samir Rachid Zaim; Ahyoung Amy Kim; Colleen Kenost; Helen Zhang; Yves A. Lussier; Vignesh Subbian (AMIA, 2019)

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions. - Samir Rachid Zaim; Colleen Kenost; Joanne Berghout; Wesley Chiu; Liam Wilson; Hao Helen Zhang; Yves A. Lussier (BMC Bioinform., 2020)

Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions. - Samir Rachid Zaim; Colleen Kenost; Joanne Berghout; Wesley Chiu; Liam Wilson; Hao Helen Zhang; Yves A. Lussier (BMC Bioinform., 2020)

Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data. - Ahyoung Amy Kim; Samir Rachid Zaim; Vignesh Subbian (Int. J. Medical Informatics, 2020)

'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases. - Dillon Aberasturi; Nima Pouladi; Samir Rachid Zaim; Colleen Kenost; Joanne Berghout; Walter W. Piegorsch; Yves A. Lussier (Bioinform., 2021)

Interpretable and Robust Machine Learning for Precision Medicine. - Samir Rachid Zaim (2021)