Kevin Coombes
Professor
Kevin Coombes
Professor
Academic Appointment(s)
Administration
Department of Biostatistics, Data Science, & Epidemiology
School of Public Health
Department of Biostatistics, Data Science, & Epidemiology
Medical College of Georgia
Department of Georgia Cancer Center
- KCOOMBES@augusta.edu
Education
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Ph.D., Mathematics, General University of Chicago The, 1982
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BA, Mathematics, General Lehigh University, 1977
Teaching Interests
Bioinformatics; data science; statistical analysis of big biological data sets.
Scholarship
Selected Recent Publications
- A high-throughput gene expression analysis software tool for developmental time series and gene signature analysis of human cardiomyocyte differentiation, 2024
Journal Article, Academic Journal - 52. Novel recurrent cytogenetic abnormalities predict overall survival in tetraploid/near-tetraploid MDS/AML, 2022
Journal Article, Academic Journal - 6. Genetic characterization of tetraploid/near-tetraploid acute myeloid leukemia patients, 2021
Journal Article, Academic Journal - A protocol to evaluate RNA sequencing normalization methods, 2019
Journal Article, Academic Journal - 17. CytoGPS: A novel bioinformatics approach for high-throughput karyotype analysis, 2018
Journal Article, Academic Journal
Research Interests
I am probably best known for my work in "forensic bioinformatics" by uncovering examples of both poor experimental design and outright fraud in published results. My research focuses on statistical, mathematical, and computational methods to process, analyze, and understand highly multivariate biological data arising from high throughput technologies. I am particularly interested in (1) methods that incorporate existing biological knowledge early in the analytical process and (2) methods that integrate diverse types of biological data with a view toward predicting clinically relevant patient outcomes. I am also excited by the burgeoning opportunities to apply mathematical methods inspired by the first half of my career to the big biological data that has characterized the second half