2 papers
cs.LG2026
CellRFT: Reinforcement Fine-Tuning for Single-Cell Perturbation Modeling
Jie Yan, Li Liu, Hanze Guo +7
Predicting cellular responses to perturbations supports the study of gene function, disease mechanisms, and therapeutic strategies. Despite advances in single-cell perturbation mod…
q-bio.GN2026
Open World Knowledge Aided Single-Cell Foundation Model with Robust Cross-Modal Cell-Language Pre-training
Haoran Wang, Xuanyi Zhang, Shuangsang Fang +5
Recent advancements in single-cell multi-omics, particularly RNA-seq, have provided profound insights into cellular heterogeneity and gene regulation. While pre-trained language mo…