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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Gave a presentation at the MassBio summit yesterday and someone asks me how to interpret the "piles of dust" on my slides. I now have a new favorite term for UMAPs
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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. https://t.co/mbNqw1BXwQ
#BIO2025
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Meet the judges & mentors for the Tahoe Deep Dive Hackathon & thanks @awscloud for offering the prize: $25K AWS credits to winner, 10K & 5K to 2nd and 3rd. Deadline to apply: Apr 4th, details in 🧵. A short DM with @ClementDelangue; and now an entire community coming together!
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[SAVE THE DATE] MLCB 2025 is happening Sep 10-11 at the NY Genome Center—NYC! Attend the premier conference at the intersection of ML & Bio, share your research and make lasting connections! Submission deadline: Jun 1 Details: https://t.co/yI9YZV676c Spread the word—please RT!
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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 https://t.co/fpsKAwidha 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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1/7 Planning to build a single-cell atlas? Or wondering how atlases can be useful to your research? Read our guide on single-cell atlases https://t.co/Z5dY86ZjxR published today in Nature Methods, by @SikkemaLisa, @KHrovatin, @MDLuecken, @fabian_theis and others.
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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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11/14 Looking ahead, we believe progress in this field will specifically require two key elements: - Higher-quality data spanning a wider range of cellular states and perturbations - Specialized models designed to fully leverage large-scale datasets for perturbation prediction
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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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*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-cost ratio here is infinite! too embarrassed to ever wear that so this is strictly a pareto improvement gf: purrito? you mean like a cat burrito??
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