Scaling and Centering After VST
Hello, after VST transformation of raw RNA-seq counts, is it necessary to scale (divide the expression value of each gene by the standard deviation of the expression of that gene) and center (subtract the mean expression value of the gene) the data? Sorry if this is a basic question, and thank you so much!
• 1,538 views
•
link
written
by
weimichelles •
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
analyze gene expression of 3 genes in RNA-Seq data
written by pinheirofabiano •
-
Weird correlation between RIP-seq replicates
written by Hiba •
-
Why do we log transform and scale data prior to PCA for scRNA-seq analysis
written by Lucy •
-
Which is the proper RNA-seq count table transformation to perform hierarchial clustering analysis?
written by antonioggsousa
-
Obtaining the z-score in only tumor RNAseq data
written by deathmagnetic20 •
-
Normalization for comparing expression statistics across sample and gene groups
written by endre.sebestyen •
-
Standardise values in R data frame
written by paolo002
-
RNA-seq normalization and standardization
written by hvphan •
-
Questions regarding VST/rlog correction to plot sample distances between RNA-seq samples
written by salamandra
-
DESeq2 VST question
written by MarcHiggins •
Depends on the analysis. What’s the analysis goal?
I'm trying to do LASSO regression, where the expression value of each gene is an independent variable.