MLDD_Workshop

29 posts

MLDD_Workshop

MLDD_Workshop

@MLDD_Workshop

Machine Learning for Drug Discovery (MLDD) Workshop | ICLR 2022

Katılım Şubat 2022
0 Takip Edilen315 Takipçiler
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Renard Lab
Renard Lab@RenardLab·
Andrea & Kevin will present our work on prompt tuning for conditional generation of #protein sequences from pre-trained protein language models. Come by tomorrow (05/05), 5pm GMT/7pm CAT to Poster Session 2 at #ICLR2023 @MLDD_Workshop! w/ @MelaniaNowicka @jmbartoszewicz
Renard Lab@RenardLab

Train prompts for general-purpose protein language models like #ProtGPT2 & #RITA to generate the sequences you want. But NLP metrics don't show the full picture... a first open-source implementation by Andrea & Kevin, w/ @MelaniaNowicka & @jmbartoszewicz biorxiv.org/content/10.110…

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MLDD_Workshop retweetledi
Jakub Bartoszewicz
Jakub Bartoszewicz@jmbartoszewicz·
Our first "joint-last author" paper with @MelaniaNowicka is now accepted at #iclr2023 ML for Drug Discovery workshop @MLDD_Workshop! Great work by Andrea Nathansen & Kevin Klein, two very ambitious & talented students @HPI_DE
Renard Lab@RenardLab

Train prompts for general-purpose protein language models like #ProtGPT2 & #RITA to generate the sequences you want. But NLP metrics don't show the full picture... a first open-source implementation by Andrea & Kevin, w/ @MelaniaNowicka & @jmbartoszewicz biorxiv.org/content/10.110…

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MLDD_Workshop
MLDD_Workshop@MLDD_Workshop·
We are postponing the submission deadline to Monday Feb 13th (AOE). If planning on submitting a paper, please submit an abstract on OpenReview by the original deadline (Feb 10th AOE) #ICLR2023
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MLDD_Workshop
MLDD_Workshop@MLDD_Workshop·
Any suggestions for improvements? Email us at: mldd.workshop@gmail.com
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MLDD_Workshop
MLDD_Workshop@MLDD_Workshop·
That's a wrap for MLDD 2022! Thanks to the organizers, speakers, authors, participants and our sponsor GSK. Stay tuned for the next edition!
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MLDD_Workshop@MLDD_Workshop·
Task #2: Maximize model performance
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MLDD_Workshop
MLDD_Workshop@MLDD_Workshop·
Congrats to the winners of the Genedisco challenge! Task #1: Maximize target discovery rate
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MLDD_Workshop retweetledi
Leon Hetzel
Leon Hetzel@leon_het·
Happy to present our work on “Predicting Single-Cell Perturbation Responses for Unseen Drugs” at #ICLR2022 @MLDD_Workshop (spotlight) today at 12pm ET. The method, chemCPA, predicts phenotypic responses by including the molecular information about drugs:
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MLDD_Workshop retweetledi
Nikša Praljak
Nikša Praljak@NPraljak·
Very excited to be presenting a poster at #ICLR2022 @MLDD_Workshop tomorrow on our work! Great job by @MLDD_Workshop for reviewing and putting everything together. Also, cannot wait to check out all of the other interesting papers and presentations on ML for drug discovery.
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