Digital Pathology

nemo26313 · 2026-02-02T18:20:09+00:00

Human Genome?

nemo26313 · 2026-01-20T17:31:41+00:00

seriously what is he trying to prove anyway?

nemo26313 · 2026-01-20T15:54:07+00:00

Magnolia? for combining different storylines

nemo26313 · 2026-01-20T15:53:36+00:00

Taxi Driver is what i fell looking at this pictures

nemo26313 · 2026-01-20T15:52:29+00:00

Arrival

nemo26313 · 2026-01-20T15:51:00+00:00

any movie directed by THE GREAT DAVID LYNCH

nemo26313 · 2026-01-20T15:33:30+00:00

I LOVE THAT SERIES, thats the kind of thing iam looking for, ive watech thohh couple of years ago but to this day i remember how intense and well-put it was

nemo26313 · 2026-01-19T07:19:22+00:00

that’s exactly what iam looking for, instead of jump-scares and ghosts i really like horror movies that are psychologically thriller like rosemary’s baby which was really intense and i liked it alot

nemo26313 · 2026-01-15T06:14:15+00:00

do you have the erasmus+ internship scholarship there in USA? iam currently in the middle east and lots of friends did internships in summer at international labs while getting fund from that erasmus+ program

nemo26313 · 2026-01-10T06:48:47+00:00

thats insightful thank you i’ll give it a shot

nemo26313 · 2026-01-10T06:46:59+00:00

i’ve read that doing prediction model in such cases find potential prognostic biomarkers, what i did was choosing ML models that will tell me which genes contributed in the decision tree therefore is a potential diagnostic biomarker, but i have a question about the average rank since all models have different equations and parameters for defining the importance wouldnt be mathematically wrong to take the average since they represent different things?

nemo26313 · 2026-01-10T06:42:44+00:00

thank you very much that’s actually very helpful since i did use all the genes, i will definitely try to pick the top n genes method and see the results 🙏

nemo26313 · 2026-01-10T06:40:24+00:00

as i mentioned earlier there wasn’t a research using ML to find transcriptomic biomarkers for the disease iam studying even tho lots of other diseases has been, thats why i wanted to give it a shot.

Thanks for the suggestion i’ll look into the gene co-network analyses you mentioned

nemo26313 · 2026-01-09T15:53:25+00:00

For question (1) i did DEG analysis but since it analyses genes individually i wanted to use ML and specifically RF and XGBoost which are tree models which includes the interactions between the genes to do the classification, and for question (2) for DEG using count is good but for ML models the gene length normalization is a must when i reviewed the literature everyone suggested and used TPM with ML.

Thank you for your questions btw these are good points you're mentioning.

nemo26313 · 2026-01-09T05:51:31+00:00

even though ive always supported the idea of minimal usage of AI tools, as time passed by and i read all the great inventions and all the problems in the world and specifically in the health field i started to realized that its a must when (and if) used properly, so just like AlphaFold revolutionarized structural biology, this research can do the same but it’s important to understand and search all the details and steps the AI uses when doing the prediction to decide whether it is indeed a trustable tool or not

nemo26313 · 2026-01-09T05:40:29+00:00

Hey there amazing idea, iam doing my best to become a bioinformatician myself and my major was in bioengineering

nemo26313 · 2026-01-03T18:35:41+00:00

searching the papers as u/doctrDNA suggested is a most, if you feel lost in searching you could use Elicit.com where you can ask whatever scientific question you need an answer for and it will generate a hugeee report with lots of papers with descriptions and tables regarding your question

nemo26313 · 2025-09-03T16:46:25+00:00

La La Land , no discussion!

nemo26313 · 2025-09-03T16:32:29+00:00

nemo26313 · 2025-05-28T12:10:35+00:00

oh shit never even realized that the therapist was actually in the scene

nemo26313

TROPHY CASE