Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure-Activity Relationship and Machine Learning Methods. - Qingda Zang; Daniel M. Rotroff; Richard S. Judson (J. Chem. Inf. Model., 2013)

PGxClean: a quality control GUI for the Affymetrix DMET chip and other candidate gene studies with non-biallelic alleles. - Daniel M. Rotroff; John R. Jack; Nathan Campbell; Scott Clark; Alison A. Motsinger-Reif (BioData Min., 2014)

Gene set analysis methods: a systematic comparison. - Ravi Mathur; Daniel M. Rotroff; Jun Ma 032; Ali Shojaie; Alison A. Motsinger-Reif (BioData Min., 2018)

Cheminformatics approach to exploring and modeling trait-associated metabolite profiles. - Jeremy R. Ash; Mélaine A. Kuenemann; Daniel M. Rotroff; Alison A. Motsinger-Reif; Denis Fourches (J. Cheminformatics, 2019)

Identifying individual risk rare variants using protein structure guided local tests (POINT). - Rachel Marceau West; Wenbin Lu; Daniel M. Rotroff; Mélaine A. Kuenemann; Sheng-Mao Chang; Michael C. Wu; Michael J. Wagner; John B. Buse; Alison A. Motsinger-Reif; Denis Fourches; Jung-Ying Tzeng (PLoS Comput. Biol., 2019)

Identification of robust deep neural network models of longitudinal clinical measurements. - Hamed Javidi; Arshiya Mariam; Gholamreza Khademi; Emily C. Zabor; Ran Zhao; Tomas Radivoyevitch; Daniel M. Rotroff (npj Digit. Medicine, 2022)

An interpretable predictive deep learning platform for pediatric metabolic diseases. - Hamed Javidi; Arshiya Mariam; Lina Alkhaled; Kevin M. Pantalone; Daniel M. Rotroff (J. Am. Medical Informatics Assoc., 2024)