- WHO? Free to all Harvard affiliates
- WHAT? Deeper differential expression analysis with shrinkage correction
- WHERE? Sign up for your zoom link. (Feel free to register again if you forget if you already signed up.)
- WHEN? Next Wednesday July 16th from 1-4pm.
- Pre-requisite: Foundations in R, or a working knowledge of R
In collaboration with Dana Farber Cancer Institute’s (DFCI) Department of Data Sciences, HBC bring you this session with guest speaker Jared Brown, a Postdoctoral research fellow in Rafael Irizarry’s Lab in the DFCI Department of Data Science.
Deeper differential expression analysis with shrinkage correction: Differential expression (alternately abundance) analysis is regularly a core tool in identifying and quantifying differences between and across groups in -omics data. In this workshop session with follow-along analysis scripts we will take a deeper look at the models underlying differential expression analysis with the particular example being the DESeq2 framework. We will examine questions around design specification, the proper use of pre-computed offsets like normalization corrections, parameter estimation and testing, and robust false discovery rate correction through post-hoc shrinkage. Examples highlighting how these approaches differ across datasets will be drawn from bulk RNAseq, single-cell RNAseq, and ChIPseq. February’s Foundations in R, or a working knowledge of R, is a prerequisite for this workshop.
Setup instructions will be provided to those who register!