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Michael I. Love, PhD

Associate Professor, Genetics Associate Professor, Biostatistics

Research Interests

Keywords: Statistical modeling of functional genomics data, bulk and single cell RNA-seq analysis, multi-modal data analysis, QTL and GWAS integration

Dr. Love’s research concerns statistical and computational methods for the analysis of high-throughput sequencing assays to facilitate biomedical and biological research. He has developed a number of open source software packages for the analysis of RNA sequencing (RNA-seq) data, including the DESeq2 package for differential gene expression analysis. In addition, he studies the effect of lab-to-lab variation on computational estimation of gene isoform abundances from RNA-seq, and has developed statistical methods for accurate estimation of isoform abundance in the presence of common technical biases.

Mentor Training:

Training Program Affiliations:

  • Bioinformatics and Computational Biology
  • Biostatistics

Publications

Michael Love in 黑料网 Genetics News

Michael I. Love, PhD