Sunduz Keles, PhD

Professor
Department of Biostatistics & Medical Informatics

Statistical and Computational Genomics

Our research group is broadly interested in developing and applying statistical and computational methods for problems arising in genome biology and computational biology. Currents specific topics include:
• Statistical methods for high throughput sequencing data.
• Regulatory motif finding in biological sequences by utilizing multiple sources of experimental and genomic data.
• Statistical methods for analyzing single-cell and population-based gene expression and chromatin structure data.
• Comparative genomics: statistical methods for inference of multi-species gene expression data.
• Statistical computing.
• Biostatistics.

Publications:
https://pubmed.ncbi.nlm.nih.gov/?term=keles+s%5BAuthor+Name%5Dwisconsin