how can we covert raw counts to 1M normalize counts?
how can we covert raw counts to 1M normalize counts?
• 1,092 views
•
link
written
by
princy149 •
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
convert raw counts to TPM
written by pinheirofabiano •
-
analyze gene expression of 3 genes in RNA-Seq data
written by pinheirofabiano •
-
Normalize Data in R and Heatmap
written by MR A •
-
How to normalized TPM with TMM method?
written by xiaoguang
-
RPKM values for mapped miRNA reads
written by glady
-
DESeq2: before differential analysis
written by limin201709 •
-
microrna-seq normalization in differential expression
written by kanwarjag
-
ssGSEA on RNA-Seq data from TCGA
written by oriolebaltimore
-
How to normalize RNAseq raw read counts with out control?
written by ifudontmind_plzz
-
Draw Heatmap Or Do Pca Analysis With Raw Read Counts?
written by camelbbs
Sum all counts per sample, and then divide all counts of that sample by the sum and multiply each with 1 million.
Thank you for your prompt reply, could you help me to do this in R . is there any R code?
What type of data is this, and why do you want to normalize the counts?