Entering edit mode
5.3 years ago
Lakshmi
▴
20
Hi all,
I am new to RNA-seq analysis. I have data from RNA-seq performed on serial samples (before treatment, after treatment 1, after treatment 2) from 3 biological replicates (3 different patients). I was able to use DESeq2 in order to obtain the top differentially expressed gene sets. Since patients samples can be highly heterogeneous, I would also like to analyze the serial samples from each patient individually only for exploratory purpose. What is the best way to do that?
Have you analyzed that? How different/divergent they are? You can plot a PCA from your normalized raw counts to visualize it.
I was hoping that the samples would align based on clinical response, but the samples group by biological sample.
Couldn't you use 2 grouping variables and
results(..., contrast = )
based on what you need?ImpulseDE is a good way of analyzing time series samples. It gives you the genes that are going down, up or having a transient response.