Beyond the Transcriptome: Chromatin-Informed Prediction of Cell-State-Dependent Perturbation Responses
q-bio.GN
Submitted: 2026-10-06
Updated: 2026-10-06
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
- Flow Matching for Generative Modeling
- Beyond Independent Genes: Learning Module-Inductive Representations for Single-Cell Gene Perturbation Prediction
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
- scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
- PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
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