Log2 fold-change & DESeq2 model in a nutshell

Опубликовано: 17 Июль 2021
на канале: LiquidBrain Bioinformatics
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This video tells you why we need to use log2FC and give a sense of how DESeq2 work.

00:01:15 What is fold change?
00:02:39 Why use log2 fold change?
00:05:33 Differential expression analysis - the challenges
00:08:10 Theory behind DESeq2
00:15:50 DESeq2 R script explains


References:
1. A very well-reputed training hub for Differential Expression Analysis
https://hbctraining.github.io/DGE_wor...
2. DESeq2 publication:
Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome biology, 15(12), 1-21.
3. Check the Bioconductor vignettes for DESeq2:
https://bioconductor.org/packages/rel...

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