awesome-perturbation-papers

1. [2025 bioRxiv] Genetic-to-chemical perturbation transfer learning through unified multimodal molecular representations [paper]
2. [2025 bioRxiv] Predicting cellular responses to perturbation across diverse contexts with State [paper]
3. [2025 bioRxiv] Benchmarking AI Models for In Silico Gene Perturbation of Cells [paper]
4. [2024 BioRxiv] scGenePT: Is language all you need for modeling single-cell perturbations? [paper]
5. [2024 Nature Reviews Genetics] Causal inference for epigenetic ageing [paper]
6. [2023 Nature Biotech] Predicting transcriptional outcomes of novel multigene perturbations with GEARS [paper]
7. [2023 Nature] Transfer learning enables predictions in network biology [paper]