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
Hello, I try to perform CNV detection with infercnvpy with rapids_singlecell integrated 1 M cells.
It still work slow.
Any suggestion to speed up the process of CNV detection?
Could rapids_singlecell add the CNV detection part (with GPU)?
Thanks!
The text was updated successfully, but these errors were encountered:
Thanks for bringing up the speed issue with infercnvpy and rapids_singlecell for CNV detection in large datasets.
Integrating GPU support is an interesting idea. I'm considering it, but I'll need to see more interest from the user community to prioritize this development. If there’s enough demand, it's definitely on the table.
Also, any contributions to this effort are highly welcome. It would be great to collaborate on enhancing infercnvpy with GPU capabilities.
Let me know if you have further thoughts or if you're interested in contributing.
Severin
Intron7
changed the title
speed up the process of CNV detection
Feature: Support infercnvpy
Jan 9, 2024
Just noticed this issue and wanted wanted to give a shoutout – I think it'd be awesome to have this feature. I feel that CNV and related analysis (prediction of aneuploidy, annotation of malignant cells...) seem to receive stronger attention in the R community (infercnv, copyKAT, SCEVAN, scATOMIC). Also, it looks to me that even though infercnvpy is lacking formal validation, it is gaining some credit, so this could be a good occasion to run some benchmarks and tests on it.
Hello, I try to perform CNV detection with infercnvpy with rapids_singlecell integrated 1 M cells.
It still work slow.
Any suggestion to speed up the process of CNV detection?
Could rapids_singlecell add the CNV detection part (with GPU)?
Thanks!
The text was updated successfully, but these errors were encountered: