We are really excited to announce that more than 2800 attendees signed-up for the #free #virtual edition of #RECOMB2020! Detailed instructions on how to join the event will be sent to you soon. Moreover, registration is still open! See our website: recomb2020.org/registration

Very excited to share SHARE-seq - single-cell ATAC+RNA in the same cell - with you! Using the paired data we find that chromatin change can predict future gene expression states! Enabling opportunities to define cell trajectories and their regulation (1/2) biorxiv.org/content/10.110…

Machine Learning Summer School 2020 #MLSS2020 streaming live Monday 12:30 CEST on youtube.com/watch?v=8staJl… MLSS Tübingen Intelligent Systems ELLIS

Better (v) late than never (?) #MLCB2019 proceedings are up at mlcb.github.io/mlcb2019_proce…! Extracting meta-data from easychair = getting 🩸 from a 🪨. Great talks also available at youtube.com/playlist?list=…

Wow. In MIT/Harvard case, DHS has fully agreed to rescind the July 6 ICE guidance and July 7 FAQ, and rescind all implementing guidance! So no TRO, because the government backed down completely.

New blog post: ucsdml.github.io/jekyll/update/… Paper: arxiv.org/abs/2004.05675 TLDR; we formalize a type of overfitting called data-copying in generative models, and provide a three-sample non-parametric test to detect it. Work w/ Casey Meehan and S. Dasgupta. To appear in #AISTATS2020

#MLCB2020 is happening! A fully independent virtual conference this year, Nov 23-24. Checkout the amazing line up of keynote speakers: mlcb.org Abstract deadline: Sept 30th. Anshul Kundaje Su-In Lee James Zou David A Knowles (@davidaknowles.bsky.social) Gerald Quon

Woke up to see some emails about someone trying to reset my password to different journals, including Nature... hope they're submitting a good paper

We have a fantastic lineup of keynotes for #MLCB2020 (Nov 23-24): Aviv Regev, Regina Barzilay, Marinka Zitnik & Eran Segal. Submissions due Sept 30th at cmt3.research.microsoft.com/mlcb2020. Register (for free!) at forms.gle/ZSwPFoLQ3iWBed…, more deets at mlcb.github.io Please RT!

Happy to see this paper out. Interpreting what CNNs have learned on large compendium of ATAC-seq data was surprising: much of the learnt parameters point to validated biological mechanisms. Deep learning of immune cell differentiation pnas.org/content/early/…

Dear Colleagues, Good news! The deadline for Machine Learning in Computational Biology (MLCB) meeting has been extended to October 2nd (Fri), 2020. MLCB organizers mlcb.github.io Anshul Kundaje Sara Mostafavi James Zou David A Knowles (@davidaknowles.bsky.social) Gerald Quon

Assistant Professor of Teaching Position in Quantitative Biology at UC Davis. The position will reside in the Dept. of Evolution & Ecology (eve.ucdavis.edu) and be affiliated with the planned interdisciplinary major in Quant. Bio. Please retweet! recruit.ucdavis.edu/JPF03860

Application deadline 12/1/2020: Information and Tips for IGG Prospective Students | IGG Graduate Group igg.ucdavis.edu/information-an…

So many good conferences are happening virtually this month. Here is one more: MLCB2020 mlcb.org conference is next week, Nov 23-24. Check out the full schedule that is just up now. Make sure to register if you plan to join!

#MLCB 2020 is going live right now! Don't worry if you didn't register, you can watch the Youtube livestream youtube.com/watch?v=BYanbn…, schedule at sites.google.com/cs.washington.… Aviv Regev is first up!

A friend (who does not work in science) asked me today whether it is true that "protein folding has been solved". My short answer: The AlphaFold method produced very impressive results on CASP14. Protein folding is not a solved problem.

Machine Learning in Computational Biology deadline extended until Wednesday 10/6, submit your 2 page abstract or 8 page paper at cmt3.research.microsoft.com/MLCB2021/. #MLCB2021 Please RT!

Deep learning has obviously transformed protein structure prediction, but can it do the same for the rest of biology? In a perspective by Peter Sorger and myself out this week in Nature Methods, we begin to try to answer this question: rdcu.be/cyMvO

Thrilled to be awarded an @NIHDirector New Innovator Award to work on frameworks for integrating multimodal datasets! #NIHHighRisk

Register (FREE) for #MLCB2021 mlcb.github.io Nov 22-23, 9am-5pm PST Keynotes: Regina Barzilay, David Kelley, Georg Seelig Industry panel: Kyle Farh Illumina, Berton Earnshaw Recursion, Amit Deshwar Deep Genomics, Ayla Ergun FulcrumTx 16 talks, 21 spotlights, posters