Novel Phenotype Development Using Non-Traditional Multilevel Population-Based Attributes. - Matthew K. Breitenstein; Karen A. Monsen (AMIA, 2013)

Developing Intermediary Medication Phenotypes via Metabolomics Biotechnology Using an Electronic Health Record-Linked Biobank. - Matthew K. Breitenstein; Richard M. Weinshilboum; Jyotishman Pathak; Liewei Wang (AMIA, 2015)

Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics. - Matthew K. Breitenstein; György J. Simon; Euijung Ryu; Sebastian M. Armasu; Richard M. Weinshilboum; Liewei Wang; Jyotishman Pathak (MIE, 2015)

An informatics research agenda to support precision medicine: seven key areas. - Jessica D. Tenenbaum; Paul Avillach; Marge M. Benham-Hutchins; Matthew K. Breitenstein; Erin L. Crowgey; Mark A. Hoffman; Xia Jiang; Subha Madhavan; John E. Mattison; Radhakrishnan Nagarajan; Bisakha Ray; Dmitriy Shin; et al. (J. Am. Medical Informatics Assoc., 2016)

Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients. - Trang T. Le; Nigel O. Blackwood; Jaclyn N. Taroni; Weixuan Fu; Matthew K. Breitenstein (AMIA, 2018)

Data-Driven Clinical Phenotyping of Denosumab Exposure in a Large United States Cohort. - Trang T. Le; Matthew K. Breitenstein (ICHI, 2018)

Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. - Alena Orlenko; Jason H. Moore; Patryk Orzechowski; Randal S. Olson; Junmei Cairns; Pedro J. Caraballo; Richard M. Weinshilboum; Liewei Wang; Matthew K. Breitenstein (PSB, 2018)

Complexities of a patient-powered data era: BYO (bring your own) genomics and wearables. - Erin L. Crowgey; Matthew K. Breitenstein; Theresa L. Walunas; Samuel L. Volchenboum (AMIA, 2019)