Media Summary: 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 This seminar was delivered on 1 September 2025. For more information: Speaker: Dr Yue You, ...

Predicting Cellular Responses To Perturbation - Detailed Analysis & 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 This seminar was delivered on 1 September 2025. For more information: Speaker: Dr Yue You, ... Okay this is our last video regarding cell communication or cell signaling and it is regarding the Models, Inference, and Algorithms April 1, 2026 Broad Institute of MIT and Harvard Meeting: Multi-Scale Modeling of If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ...

Models, Inference and Algorithms Broad Institute of MIT and Harvard December 6, 2023 Samantha Morris Department of ... Join the reading group: Paper: Learning Adaptive The paper introduces CellOT, a machine learning framework designed to Models. Inference and Algorithms November 16, 2022 Broad Institute of MIT and Harvard Meeting: Neural Optimal Transport for ... ... Virtual Cell Challenge H1 benchmark for Talk Date: September 15th, 2025 ​​Talk Details:

Paper: PertEval-scFM: Benchmarking Single- This study benchmarks 27 computational methods for

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Predicting cellular responses to perturbation across diverse contexts with State | Abhinav Adduri
Predicting Cellular Responses to Perturbation Across Diverse Contexts With STATE by Abhinav Adduri
A Systematic Comparison of Single-Cell Perturbation Response Prediction Models
Cell Communication 4 Cellular Response
MIA: Abhinav Adduri, Multi-Scale Modeling of Cellular Responses to Perturbation with STATE
Predicting Single-Cell Perturbation Responses For Unseen Drugs | Leon Hetzel and Simon Böhm
Learning large-scale perturbation effects... - Mohammad Lotfollahi - MLCSB - Talk - ISMB/ECCB 2021
MIA: Morris Lab, Dissecting cell identity via network inference and in silico gene perturbation
Interpretable Machine Learning to Model Drug Perturbations in Single Cell Genomics
Intro to Cell Signaling
Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
390-CellOT: Learning Single-Cell Perturbation Responses
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