A photo of Michael Wagner.

Michael Wagner, PhD


  • Faculty Liaison, Biomedical Informatics Core
  • Associate Professor, UC Department of Pediatrics

About

Biography

Dr. Wagner has a long-standing interest in applications of machine learning techniques to bioinformatics problems such as protein structure prediction, disease classification and protein identification. He is also involved in a number of projects that implement complex software and data infrastructure. For the National Heart Lung and Blood Institute-funded Pediatric Cardiology Genomics Consortium, part of the Bench to Bassinet project, he plays a leadership role in the development and maintenance of the Data Hub (a.k.a. HeartsMart), which now houses tens of thousands of whole exome and thousands of whole genome sequencing data sets. He is co-principal investigator on the Longitudinal Pediatric Data Resource (LPDR) project funded through the Newborn Screening Translational Research Network and National Institute of Child Health and Human Development. The LPDR is being used by researchers nationwide to mine health outcome data over the lifespan of children who screen positive for rare and often devastating genetic disorders. Dr. Wagner also leads the Rheumatology Disease Research Informatics Core of the Cincinnati Rheumatic Diseases Core Center, which is funded by the National Institute of Arthritis and Musculoskeletal and Skin Diseases.

Publications

Selected

Cxcr2 signaling and the microbiome suppress inflammation, bile duct injury, and the phenotype of experimental biliary atresia. Jee, J; Mourya, R; Shivakumar, P; Fei, L; Wagner, M; Bezerra, JA. PLoS ONE. 2017; 12.

Selected

SLICE: determining cell differentiation and lineage based on single cell entropy. Guo, M; Bao, EL; Wagner, M; Whitsett, JA; Xu, Y. Nucleic Acids Research. 2017; 45.

Selected

Noise Exposure on Pediatric Inpatient Units. Daraiseh, NM; Hoying, CL; Vidonish, WP; Lin, L; Wagner, M. Journal of Nursing Administration. 2016; 46:468-476.

Selected

Genetic risk signatures of opioid-induced respiratory depression following pediatric tonsillectomy. Biesiada, J; Chidambaran, V; Wagner, M; Zhang, X; Martin, LJ; Meller, J; Sadhasivam, S. Pharmacogenomics. 2014; 15:1749-1762.

Selected

Early microbial and metabolomic signatures predict later onset of necrotizing enterocolitis in preterm infants. Morrow, AL; Lagomarcino, AJ; Schibler, KR; Taft, DH; Yu, Z; Wang, B; Altaye, M; Wagner, M; Gevers, D; Ward, DV; et al. Microbiome. 2013; 1.

Selected

Solvent and lipid accessibility prediction as a basis for model quality assessment in soluble and membrane proteins. Phatak, M; Adamczak, R; Cao, B; Wagner, M; Meller, J. Current Protein and Peptide Science. 2011; 12:563-573.

Selected

Kolmogorov-Smirnov scores and intrinsic mass tolerances for peptide mass fingerprinting. Jain, R; Wagner, M. Journal of Proteome Research. 2010; 9:737-742.

Selected

Linear regression models for solvent accessibility prediction in proteins. Wagner, M; Adamczak, R; Porollo, A; Meller, J. Journal of Computational Biology. 2005; 12:355-369.

Selected

Computational protein biomarker prediction: a case study for prostate cancer. Wagner, M; Naik, DN; Pothen, A; Kasukurti, S; Devineni, RR; Adam, BL; Semmes, OJ; Wright, GL. BMC Bioinformatics. 2004; 5.

Neptune: an environment for the delivery of genomic medicine. Eric, V; Yi, V; Murdock, D; Kalla, SE; Wu, TJ; Sabo, A; Li, S; Meng, Q; Tian, X; Murugan, M; et al. Genetics in Medicine. 2021; 23:1838-1846.