2 papers
cs.AI2026
AmbiModBench: Benchmarking Gene Perturbation Prediction Beyond Shared Responses
Sikai Huang, Zhiwen Yang, Kai Yu +2
Predicting cellular responses to genetic perturbations helps prioritize experiments in single-cell genomics, where exhaustive measurement is infeasible. While computational models…
cs.LG2026
Bison: Cross-Dataset Learning for Unseen-Compound Perturbation Prediction
Yunfan Liu, Kasra Ghorbani, Yufei Huang +6
Predicting transcriptional responses to unseen compounds is limited by fragmented chemical coverage and heterogeneous experimental platforms and gene panels. To assess molecular ge…