mikelove github.io

Michael I Love

Michaelisaiahlove at gmail dot com. I use statistical models to infer biologically meaningful patterns from high-throughput sequencing data, and develop open-source statistical software for the Bioconductor Project. One of my main research efforts is in authoring and maintaining the DESeq2 package. For statistical analysis of RNA-seq experiments. In addition, I have collaborated with the authors and developers of the Salmon. Describing the new bias correction methods has been posted to bioRxiv 82016.

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LINKS TO MIKELOVE.GITHUB.IO

Mike Loves blog

I was asked recently on Twitter about my thoughts on DESeq2 and edgeR and which tool is better. I recommend people read papers and decide themselves. I think DESeq2 and edgeR are both good methods for gene-level DE, as is limma-voom.

Simply Statistics Simply Statistics

I was asked to speak at the UCLA Department of Statistics.

Latest Posts

DESeq with hierarchical FDR correction. Written 1 day ago by liam. Bull; updated 19 hours ago. Written 1 day ago by billnjcn. Bull; updated 20 hours ago. Gviz library plot 2 gene loci in the same figure. Written 1 day ago by tangming2005. Bull; updated 1 day ago.

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Michael I Love

DESCRIPTION

Michaelisaiahlove at gmail dot com. I use statistical models to infer biologically meaningful patterns from high-throughput sequencing data, and develop open-source statistical software for the Bioconductor Project. One of my main research efforts is in authoring and maintaining the DESeq2 package. For statistical analysis of RNA-seq experiments. In addition, I have collaborated with the authors and developers of the Salmon. Describing the new bias correction methods has been posted to bioRxiv 82016.

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The site had the following in the web page, "I use statistical models to infer biologically meaningful patterns from high-throughput sequencing data, and develop open-source statistical software for the Bioconductor Project." I observed that the web site stated " One of my main research efforts is in authoring and maintaining the DESeq2 package." They also stated " For statistical analysis of RNA-seq experiments. In addition, I have collaborated with the authors and developers of the Salmon. Describing the new bias correction methods has been posted to bioRxiv 82016."

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