Quick Overview: Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: ... In this talk, Abhinav Adduri presents a framework for predicting Talk Date: September 15th, 2025 ​​Talk Details: Cellular responses to

Learning Adaptive Perturbation Conditioned Contexts - Detailed Overview & Context

Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: ... In this talk, Abhinav Adduri presents a framework for predicting Talk Date: September 15th, 2025 ​​Talk Details: Cellular responses to Bioconductor Seminar Series is a new quarterly online event highlighting recent advances in computational biology and their ... Modeling a cell's state e.g. during differentiation or in response to The paper introduces X-Atlas/Pisces, the most extensive genome-wide CRISPRi Perturb-seq dataset created to date, featuring ...

Models. Inference and Algorithms November 16, 2022 Broad Institute of MIT and Harvard Meeting: Neural Optimal Transport for ... This seminar was delivered on 1 September 2025. For more information: Speaker: Dr Yue You, ... Caroline Uhler is a Professor at MIT with the Department of Electrical Engineering and Computer Science and Institute for Data, ... Roche Webinar: The Future of Computational Companion Diagnostics Join the reading group: Paper: Latent Causal Diffusions for Single-Cell The original paper: Key words: Transcriptome, differential expression, TRADE, ...

Pertpy is a Python-based software framework created to streamline the analysis of large-scale single-cell Paper: PertEval-scFM: Benchmarking Single-Cell Foundation Models for This comes from a full video breaking down how LLMs work. The link is on the bottom of the screen (in the shorts feed at least), ... This paper introduces Scouter, a novel computational tool designed to predict how cells respond to genetic

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Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
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Predicting Cellular Responses to Perturbation Across Diverse Contexts With STATE by Abhinav Adduri
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Causal Representation Learning in the Context of Perturbation Screens by Caroline Uhler, PhD.
Roche Webinar: The Future of Computational Companion Diagnostics
Latent Causal Diffusions for Single-Cell Perturbation Modeling | Lars Lorch
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