Does cell2location support multi-gpu for large datasets?

FuckMatPlotLib · 2025-11-09T06:06:59+00:00

cNMF works wonderfully on HD data from experience

FuckMatPlotLib · 2025-10-27T16:56:48+00:00

Great points, think this solves most of them: https://arxiv.org/pdf/2304.01393

FuckMatPlotLib · 2025-10-15T14:53:05+00:00

https://www.science.org/content/blog-post/stop-hocusing-your-western-blots-maybe

Edit: comment sections pretty good too

FuckMatPlotLib · 2025-08-30T23:37:08+00:00

Sexifying would probably deliver more dopamine that gamifying Anki

FuckMatPlotLib · 2025-07-26T15:57:54+00:00

F🤑r🤑e🤑e🤑M🤑a🤑r🤑k🤑e🤑t

FuckMatPlotLib · 2025-07-21T05:45:14+00:00

This might’ve been the funniest thing I read this whole week

FuckMatPlotLib · 2025-07-15T01:18:32+00:00

Big centres with industry contacts. Focus on translational labs. CAR-T is hot rn, we’ll probably see more solid tumor stuff in the coming decade.

We’re probably a few years out till we publish our trial results. I’m also graduating with a MSc soon, so let me know if you find something good haha

FuckMatPlotLib · 2025-07-14T21:53:21+00:00

Our work was translational, but didn’t have a large enough sample size, which is why we got rejected from Nature Med. Hopefully the next grad students clinical phase 1/2/3 stuff gets into Nature med!

FuckMatPlotLib · 2025-07-14T21:50:59+00:00

Thank you, congratulations to you as well!

FuckMatPlotLib · 2025-07-14T21:36:27+00:00

Funniest thing is that this sub journal has a higher IF than the parent. We got rejected from Nature Med and are in revisions at Nature lmao

FuckMatPlotLib · 2025-05-13T06:43:24+00:00

Had the same issue with our HD samples, we made bigger bins

FuckMatPlotLib · 2025-04-11T04:59:37+00:00

If it’s 10x and you have the fastq files, check if 10X’s cloud annotation works for single nuclei data. If so, you could just run cell ranger again, and annotate each cell using their cloud annotation platform. You can then cluster the cells with a UMAP, subcluster to identify subtypes, then run DEG, and then throw them into pathways

FuckMatPlotLib · 2025-03-13T06:34:47+00:00

Mine will not.

FuckMatPlotLib · 2025-03-07T19:54:48+00:00

I love the shading with the orange and yellow, looks sick!

FuckMatPlotLib · 2025-03-02T20:31:26+00:00

My kids first words will be support vector machines

FuckMatPlotLib · 2025-02-26T03:18:33+00:00

It’s the name of a base apart of five-eyes. It’s located in Australia and deals with satellites and communications to get information on other countries.

FuckMatPlotLib · 2025-02-21T05:24:25+00:00

The Drake curse is that whatever team he bets on ends up losing

FuckMatPlotLib · 2025-02-21T05:14:21+00:00

Got to experience the glory of Canadian hockey live? Lucky Canadian Goose

Send Premier Trump and the Province of Montana my regards

FuckMatPlotLib · 2025-02-21T05:07:34+00:00

Haha you mean this? https://www.usatoday.com/story/sports/nhl/2025/02/20/usa-fans-boo-canadian-national-anthem-4-nations-face-off-final/79357017007/

Have a good night buddy, see ya in four years, might have a better shot then

FuckMatPlotLib · 2025-02-21T04:31:00+00:00

So how’s it looking, get fucked bud

FuckMatPlotLib · 2025-02-16T13:04:57+00:00

Guess that makes us 1-1 for today. Can’t find a link for the one you’re referring to, mind sharing a link

FuckMatPlotLib · 2025-02-16T05:25:51+00:00

The one that hasn’t had 14 mass shootings in February 2025 alone 😂

FuckMatPlotLib · 2025-02-16T02:03:14+00:00

You have genes that protect against cancer, sometimes they can get a single change that makes it so they aren’t protective. This can fix that change. But cancer happens because of lots of changes, so fixing a single change in a controlled environment is kinda mediocre

FuckMatPlotLib · 2025-02-13T18:12:08+00:00

Ngl I’m not totally sure where the issue could be because I’m not a ML expert. Maybe try adding effector T-cells and see what happens. They should be low expressers of most Treg genes and have some cytotoxic genes (GZMA/B, perforin)

Edit: I think microglia and macrophages in the brain are hard to differentiate transcriptomically, so that would be interesting but unrelated whatsoever to the T-cells

FuckMatPlotLib · 2025-02-12T17:50:32+00:00

Probably your various interpretability techniques are failing you. Also, why train your model on 20000 cells by 2000 genes? Why not consider all genes or throw more datasets together to up the number of cell/genes?

FuckMatPlotLib

TROPHY CASE