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Feature: Support infercnvpy #116

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xflicsu opened this issue Jan 9, 2024 · 2 comments
Open

Feature: Support infercnvpy #116

xflicsu opened this issue Jan 9, 2024 · 2 comments

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@xflicsu
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xflicsu commented Jan 9, 2024

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!

@xflicsu xflicsu added the enhancement New feature or request label Jan 9, 2024
@Intron7
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Intron7 commented Jan 9, 2024

Hey @xflicsu

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 Intron7 changed the title speed up the process of CNV detection Feature: Support infercnvpy Jan 9, 2024
@lorenzoamir
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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.

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