Normalize scRNAseq data to housekeeping genes to compare several datasets
Hello everyone!
I am aiming to compare some single-cell RNAseq datasets, specifically cell stress level between them. Considering cell type diversity in the tissue, I was thinking on experimental design as normalizing each dataset to housekeeping genes and then statistical comparison.
The thing is I've never done this kind of normalization before and I am relatively new in processing single cell data. So if anybody have a clue about how to handle this issue I would be very grateful.
• 907 views
•
link
updated
by
ATpoint
•
written
by
AaronJaime •
•
written
by
AaronJaime •
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
News: Single Cell RNA-Seq Analysis (SCRN01)
written by oliverhooker
-
Comparing molecular subtypes identified by microarray or bulk RNASeq in ssRNASeq data
written by akhattri •
-
Integration in single cell RNAseq: What does it mean?
written by synat.keam •
-
Choosing a cut-off for mitochondrial genes in brain scRNAseq
written by nshenoy •
-
Appropriate statistical test for comparing two samples in single-cell RNAseq
written by gundalav
-
How to compare cell-type ratios in sc-RNA seq data?
written by sc-ruzafa •
-
RNA-seq dataset search
written by ramyak1912 •
-
Normalization of single cell allele counts RNA-seq analysis
written by luckysardar171 •
-
Should normalization of expression data be performed over the entire dataset or only over the used …
written by n,n
-
Normalization of single cell RNA-seq data with different read depths
written by mariah •
I recommend https://bioconductor.org/books/3.18/OSCA.basic/normalization.html as well as the "advanced" section in this book.