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By avoiding direct optimization of the expensive log |Σ| and Σ⁻¹ terms in Gaussian likelihood, CellVS-Net serves as a drop-in replacement for the isotropic Gaussian (mean squared error) losses commonly used in cellular response models.
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CellVS-Net enables in-context prediction of network rewiring through a scalable differentiable surrogate for the multivariate Gaussian negative log-likelihood, decomposing covariance estimation into pairwise regression problems.
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CellVS-Net maps multivariate cellular contexts to predict a post-perturbation gene network represented as a Gaussian graphical model. It learns a single context encoder that functions as an amortized estimator, going directly from data context to network parameters.
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By avoiding direct optimization of the expensive log |Σ| and Σ⁻¹ terms in Gaussian likelihood, CellVS-Net serves as a drop-in replacement for the isotropic Gaussian (mean squared error) losses commonly used in cellular response models.
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CellVS-Net enables in-context prediction of network rewiring through a scalable differentiable surrogate for the multivariate Gaussian negative log-likelihood, decomposing covariance estimation into pairwise regression problems.
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CellVS-Net maps multivariate cellular contexts to predict a post-perturbation gene network represented as a Gaussian graphical model. It learns a single context encoder that functions as an amortized estimator, going directly from data context to network parameters.
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CellVS-Net: Cell-Level Virtual Screening biorxiv.org/content/10.64898…
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We curated DDR-Bench and DTR-Bench to validate virtual cells on practical drug discovery tasks and enable hill-climbing on useful hills. We make one contribution to cell-level screening with CellVS-Net, but the ceiling is still quite far away! Pre-print: biorxiv.org/content/10.64898…

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We found that CellVS-Net substantially improves drug effect representation on both DDR-Bench (below) and DTR-Bench.
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We found shortcomings in both molecular and cell-level methods on these benchmarks, motivating us to go beyond static expression snapshots. This led to CellVS-Net, an amortized estimator that predicts how gene networks restructure in response to unseen perts.
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29 Oct 2024
Fuck it I'm bored so let's start a series. I'm going to be the corporate shell that I am and start writing #CELLVS Yes folks you heard me right I don't know if I'm the first Cell account to do this but damn it I want to so let's start a poll shall we ----> look in replies
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LET’S JUST ALL KEEL HOUR CELLVS
『ファイナルファンタジーVII リバース』 本日だけのカウントダウンCM放映開始! ◤◢◤◢◤ 明日発売🎀 ◢◤◢◤◢ #FF7リバース #FF7R #FF7 #PS5
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Replying to @SeekingAnon
We keep coming back. That’s why we need to establish a gr8 country/countries and a great world The soul energy recycles We have to treat earth like a [physical] home…not like a dump Our future cellvs are depending on us
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Hi/psi-cellVs removes lambda 2 stair up as warrior guardians!
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Well, I am posting the video here for people that don't know my youtube! Thank you again @DevilArtemisX For being the voice on this short animation! It means a lot! Hope we do more in the future!😊🫶 #MomoRozu #Kermit #Cellvs #devilartemis
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I want to Thank you @DevilArtemisX For Being the voice of Kermit and Cell In my Animation! Please Give him some lovew and Joy!😊😊🫶🫶🤩 Hope you like the short video!😊👌 #MomoRozu #Kermit #Cellvs #devilartemis youtu.be/MdLufzlHsAw

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Meanwhile in the Devil Artemis Universe.... #cellvs #devilartemis #perrytheplatypus #perry
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