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Avoiding two pitfalls in data analysis of gene expression
April 23, 2020 @ 3:30 pm - 4:30 pm
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Dr. Michael Love’s talk, “Avoiding two pitfalls in data analysis of gene expression” will conclude the 2020 Biostatistics Spring Seminar series. 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.
