Closed yoavhadas closed 2 years ago
Hi @yoavhadas ,
if you have a matrix file of counts, you can import it into R and directly plug it into the run_deseq2()
or run_drimseq()
functions.
Pease note that your data will not be scaled or normalized in any way by this approach though.
If you have a raw count file per sample, you could try the import_counts()
function with type="none"
and specify the columns with the data manually. Then an appropriate scaling should be applied.
Best, Tobi
Thank you Tobi I will give it a try.
Yoav
Hello again, In my csv file, I have barcodes as columns and transcripts as rows:
TranscriptID,CCGCAGTCAGGACTCA,TCATACCACTTGAGTT,TGCGCGTTAATTACCA,AAGTAGAGTACTAAGT Transcript1,0,0,0,0 Transcript2,0,0,0,0 Transcript3,0,0,3.93,0
I can import it to R using read.csv("transcript_matrix.csv"); however, I am not sure what you mean by: "specify the columns with the data manually."
Any help will be appreciated. Thanks Yoav.
Hello, Is it possible to import a matrix of transcript counts as txt or csv file instead of raw data?
Thanks Yoav