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 predicting Modeling a cell's state e.g. during differentiation or in response to

Learning Adaptive Perturbation Conditioned Contexts - 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 predicting Modeling a cell's state e.g. during differentiation or in response to Bioconductor Seminar Series is a new quarterly online event highlighting recent advances in computational biology and their ... Models. Inference and Algorithms November 16, 2022 Broad Institute of MIT and Harvard Meeting: Neural Optimal Transport for ... Caroline Uhler is a Professor at MIT with the Department of Electrical Engineering and Computer Science and Institute for Data, ...

This seminar was delivered on 1 September 2025. For more information: Speaker: Dr Yue You, ... The paper introduces X-Atlas/Pisces, the most extensive genome-wide CRISPRi Perturb-seq dataset created to date, featuring ... 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 Join the reading group: Paper: Latent Causal Diffusions for Single-Cell Paper: PertEval-scFM: Benchmarking Single-Cell Foundation Models for

This paper introduces Scouter, a novel computational tool designed to predict how cells respond to genetic GEARS: Predicting transcriptional outcomes of novel multi-gene

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Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
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
Interpretable Machine Learning to Model Drug Perturbations in Single Cell Genomics
Deep-learning-based Gene Perturbation Effect Prediction Does Not Yet Outperform Linear Baselines
MIA: Charlotte Bunne, Neural Optimal Transport for Cell Perturbation Responses; Primer by Oana Ursu
Causal Representation Learning in the Context of Perturbation Screens by Caroline Uhler, PhD.
A Systematic Comparison of Single-Cell Perturbation Response Prediction Models
764-X-Cell: Scaling Causal Perturbation Prediction
TRADE:  Differential Expression in Perturbation Atlases
Sara Magliacane: Domain adaptation by using causal inference
387-Pertpy: Framework for Single-Cell Perturbation Analysis
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