You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The analysis starts with a matrix of read counts. Depending on the protocol, these may be raw numbers of reads mapped to each gene, or count values adjusted for potential biases (sequence dependency, splice variant coverage, etc. - the values must be integers).
I want to know if a trancript count matrix could as an input file for scde instead of a gene count matrix. Is the transcript count matrix still obey the same distribution as gene count matrix (negative binomial distribution)?
Look forward to your reply! Thanks :)
The text was updated successfully, but these errors were encountered:
Dear scde team,
Thank you for this great scde package! When I read the tutorials Single-Cell Differential Expression Analysis, I noticed that it is said
The analysis starts with a matrix of read counts. Depending on the protocol, these may be raw numbers of reads mapped to each gene, or count values adjusted for potential biases (sequence dependency, splice variant coverage, etc. - the values must be integers).
I want to know if a trancript count matrix could as an input file for scde instead of a gene count matrix. Is the transcript count matrix still obey the same distribution as gene count matrix (negative binomial distribution)?
Look forward to your reply! Thanks :)
The text was updated successfully, but these errors were encountered: