Closed Dominic7227 closed 1 year ago
Hi @Dominic7227
Can you provide me with the count data? So I can figure it out. You can replace all the cell and peak names with a random name if you want.
Thanks
encounter the same issue..
Hi @lzj1769 , I'm encountering the same issue as previous commenters. I installed scopen v1.0.1 (the newest version) from pip. I'm running this on python3.8. I've already checked that my entire input matrix is non-negative. Could you please let me know what you did to fix this?
encounter the same issue..
The problem is solved. You should make sure that your matrix does not contain reads larger than 128, otherwise this statement in utils.py will not work properly.
Hi, I tried the command
scopen
on my count data (all integers and non-negative), but it threw an error that there exist negative values for NMF input. Then I checked the TF-IDF function you used in the source code, and it showed that the TF-IDF transformation would produce negative values.