Yuge Ji
@_yji_
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ML in compbio, scanlating~
Cambridge, MA
Joined February 2016
Do you run functional assays? Wish you could get more results without having to scale?. If you’re not using Prophet, you’re leaving potential on the table. (Warning: pitch not tweetorial).
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I went to #BIOInternational this year and wished I'd gone 10 years ago. This is my attempt at convincing any early career researcher(or otherwise) to go for this unsupervised data collection experience. #BIO2025
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RT @nalidoust: Meet the judges & mentors for the Tahoe Deep Dive Hackathon & thanks @awscloud for offering the prize: $25K AWS credits to w….
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Hot take: if you work in AI for medicine you should be able to pass Step 1.
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I know the problem lies with how publishing incentives work but I wish there were a way to repair trust, even despite the current publishing system.
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Pfizer (the authors here) is the end user, they shouldn't be the ones having to call out papers from @NatureBiotech . What is the point of academic research if the hurdle of "trusting it enough to try it" gets so big no one uses academic methods at all?.
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Grateful to see industry putting out thoughtful benchmarking work like this but sad to imagine what they must think about academia and bio ML papers.
biorxiv.org
Modeling genetic perturbations and their effect on the transcriptome is a key area of pharmaceutical research. Due to the complexity of the transcriptome, there has been much excitement and develop...
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RT @SikkemaLisa: 1/7 Planning to build a single-cell atlas? Or wondering how atlases can be useful to your research? Read our guide on sing….
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And probably add a few years to your lifespan on top of everything else (come through longevity twitter).
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RT @aaron_wtr: 11/14 Looking ahead, we believe progress in this field will specifically require two key elements:.- Higher-quality data spa….
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My silver lining is that maybe this means more funding goes to high quality data generating institutions and technologies, the only reason we have AI in the first place.
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RT @xuanalogue: *foists upon the gf my unused EA t-shirt so she can use it as pyjamas*. me: see I'm so effective! the marginal benefit-to-c….
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You might think @jacobkimmel makes some obvious statements here, but the de facto approach is still target-based drug discovery :( . Phenotypic drug discovery when.
a distinct disipline is emerging from the bio & ML intersection -- predictive biology. - enabled by AI.- understanding = prediction, not causal diagrams.- emergent instead of reductionist.- new institutions: industrial > academic. a rough attempt at outlining the new field:
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