Predicting Single Cell Perturbation Responses

Media Summary: If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ... This seminar was delivered on 1 September 2025. For more information: Speaker: Dr Yue You, ... Join the reading group: Paper: Latent Causal Diffusions for

Predicting Single Cell Perturbation Responses - Detailed Analysis & Overview

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ... This seminar was delivered on 1 September 2025. For more information: Speaker: Dr Yue You, ... Join the reading group: Paper: Latent Causal Diffusions for Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: ... Models. Inference and Algorithms November 16, 2022 Broad Institute of MIT and Harvard Meeting: Neural Optimal Transport for ... This study benchmarks 27 computational methods for

The paper introduces CellOT, a machine learning framework designed to Dr. Yinhua Piao - 한국어 요약 - AdaPert는 단일 세포 수준( Bioconductor Seminar Series is a new quarterly online event highlighting recent advances in computational biology and their ...

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Predicting Single-Cell Perturbation Responses For Unseen Drugs | Leon Hetzel and Simon Böhm

A Systematic Comparison of Single-Cell Perturbation Response Prediction Models

Latent Causal Diffusions for Single-Cell Perturbation Modeling | Lars Lorch

Interpretable Machine Learning to Model Drug Perturbations in Single Cell Genomics

Learning large-scale perturbation effects... - Mohammad Lotfollahi - MLCSB - Talk - ISMB/ECCB 2021

Predicting cellular responses to perturbation across diverse contexts with State | Abhinav Adduri

MIA: Charlotte Bunne, Neural Optimal Transport for Cell Perturbation Responses; Primer by Oana Ursu

502-Benchmarking Single-Cell Perturbation Response Models

390-CellOT: Learning Single-Cell Perturbation Responses

Adaptive Perturbation Prediction for Virtual Cells - Yinhua Piao, PhD (AI-CRED Fellow)

PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction

Biostatistical approaches to single-cell perturbation... - Magdalena Strauss - VarI - ISMB/ECCB 2025

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Predicting Single-Cell Perturbation Responses For Unseen Drugs | Leon Hetzel and Simon Böhm

Predicting Single-Cell Perturbation Responses For Unseen Drugs | Leon Hetzel and Simon Böhm

If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: ...

A Systematic Comparison of Single-Cell Perturbation Response Prediction Models

A Systematic Comparison of Single-Cell Perturbation Response Prediction Models

This seminar was delivered on 1 September 2025. For more information: https://spds.sydney.edu.au/ Speaker: Dr Yue You, ...

Latent Causal Diffusions for Single-Cell Perturbation Modeling | Lars Lorch

Latent Causal Diffusions for Single-Cell Perturbation Modeling | Lars Lorch

Join the reading group: https://multiomics-reading-group.github.io/ Paper: Latent Causal Diffusions for

Interpretable Machine Learning to Model Drug Perturbations in Single Cell Genomics

Interpretable Machine Learning to Model Drug Perturbations in Single Cell Genomics

Modeling a

Learning large-scale perturbation effects... - Mohammad Lotfollahi - MLCSB - Talk - ISMB/ECCB 2021

Learning large-scale perturbation effects... - Mohammad Lotfollahi - MLCSB - Talk - ISMB/ECCB 2021

Learning large-scale

Predicting cellular responses to perturbation across diverse contexts with State | Abhinav Adduri

Predicting cellular responses to perturbation across diverse contexts with State | Abhinav Adduri

Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: ...

MIA: Charlotte Bunne, Neural Optimal Transport for Cell Perturbation Responses; Primer by Oana Ursu

MIA: Charlotte Bunne, Neural Optimal Transport for Cell Perturbation Responses; Primer by Oana Ursu

Models. Inference and Algorithms November 16, 2022 Broad Institute of MIT and Harvard Meeting: Neural Optimal Transport for ...

502-Benchmarking Single-Cell Perturbation Response Models

502-Benchmarking Single-Cell Perturbation Response Models

This study benchmarks 27 computational methods for

390-CellOT: Learning Single-Cell Perturbation Responses

390-CellOT: Learning Single-Cell Perturbation Responses

The paper introduces CellOT, a machine learning framework designed to

Adaptive Perturbation Prediction for Virtual Cells - Yinhua Piao, PhD (AI-CRED Fellow)

Adaptive Perturbation Prediction for Virtual Cells - Yinhua Piao, PhD (AI-CRED Fellow)

Dr. Yinhua Piao - https://sites.google.com/view/aicred/fellows/yinhua-piao 한국어 요약 - AdaPert는 단일 세포 수준(

PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction

PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction

Paper: PertEval-scFM: Benchmarking

Biostatistical approaches to single-cell perturbation... - Magdalena Strauss - VarI - ISMB/ECCB 2025

Biostatistical approaches to single-cell perturbation... - Magdalena Strauss - VarI - ISMB/ECCB 2025

Biostatistical approaches to

Deep-learning-based Gene Perturbation Effect Prediction Does Not Yet Outperform Linear Baselines

Deep-learning-based Gene Perturbation Effect Prediction Does Not Yet Outperform Linear Baselines

Bioconductor Seminar Series is a new quarterly online event highlighting recent advances in computational biology and their ...