Tag: R

Creating an Essential Research Collaboration Environment with R Studio Today’s high-throughput biomedical research techniques and intensive interdisciplinary collaborations – especially between biologists and computational researchers – require tools and infrastructure
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences Author(s): Charlotte Soneson Institute for Molecular Life Sciences, University of Zurich, Zurich, 8057, Switzerland; SIB Swiss Institute of Bioinformatics, University of
RNA-Seq workflow: gene-level exploratory analysis and differential expression Author(s): Mike Love Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Department of Biostatistics, Harvard TH Chan School of Public
Scroll to Top