Debora Marks
@deboramarks.bsky.social
430 followers 730 following 7 posts
Discover the Languages of Biology Build computational models to (help) solve biology? Join us! https://www.deboramarkslab.com DM or mail me!
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Reposted by Debora Marks
andrewgwils.bsky.social
My new paper "Deep Learning is Not So Mysterious or Different": arxiv.org/abs/2503.02113. Generalization behaviours in deep learning can be intuitively understood through a notion of soft inductive biases, and formally characterized with countable hypothesis bounds! 1/12
deboramarks.bsky.social
RNA, RNA, RNA -> RNAGym!
read all about it! biorxiv.org/content/10.110…
Been a long time goal of @deboramarks.bsky.social We tried a million years ago,
sciencedirect.com/science/articl�
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Now total refresh led by Rohit Arora and Murphy Angelo and Pascal Notin for pulling together!!
https://biorxiv.org/content/10.110…
deboramarks.bsky.social
Which RNAs are functional? Been a long time goal of @deboramarks.bsky.social to start an RNA sequence —> function and structure mapping.

Huge thx to team for pushing on this when - led by Rohit Arora and Murphy Angelo for seeing this thru and Pascal Notin for pulling together!!!
pascalnotin.bsky.social
🚨 New paper 🚨 RNA modeling just got its own Gym! 🏋️ Introducing RNAGym, large-scale benchmarks for RNA fitness and structure prediction.
🧵 1/9
Reposted by Debora Marks
Reposted by Debora Marks
aemonten.bsky.social
This, by Michael Lynch.

I'd include AI techbros as well.

www.pnas.org/doi/10.1073/...
Reposted by Debora Marks
davidaknowles.bsky.social
Just under a week until the #MLCB2025 paper/abstract deadline on June 1st! In-person registration is full but you can join the wait list forms.gle/gnj6AAV7oWj6... or watch online at youtube.com/@mlcbconf. Sept 10-11 at @nygenome.org. Full deets at mlcb.org! Please RP.
Machine Learning in Computational Biology
Youtube channel for the Machine Learning in Computational Biology conference.
youtube.com
Reposted by Debora Marks
jonnyfrazer.bsky.social
Want to improve your protein or genomic language model’s performance at zero-shot variant effect prediction? We propose a simple adjustment to likelihood-based predicton
deboramarks.bsky.social
Important new paper from the Dias-Frazer lab @CRG in Barcelona - needed to be shown. Next-stop non coding variation :)
Reposted by Debora Marks
biorxivpreprint.bsky.social
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models https://www.biorxiv.org/content/10.1101/2025.05.20.655154v1
deboramarks.bsky.social
Interested in working with us in trying to solve human genetics? Great talk at #VariantEffect25. by @roseorenbuch-art.bsky.social - now the rest of the genome and complex diseases! Contact us by DM or [email protected] if interested.
Reposted by Debora Marks
jonnyfrazer.bsky.social
And now, the final talk of #VariantEffect25. @roseorenbuch-art.bsky.social from Harvard Medical School presents work from our long-standing collaboration, and one that’s very close to my heart: Proteome-wide model for human disease genetics