3 citations · 4 across the 4 of their papers we have counts for
4 papers
Benchmarking virtual cell models for in-the-wild perturbation response
Xinjie Mao, Songming Zhang, Qianhong Wen +10
Virtual cell (VC) models aim to predict cellular responses to any perturbations in silico and have emerged as a promising approach for drug discovery and precision medicine. Yet, a…
SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction
Shuizhou Chen, Lang Yu, Xueqin Lin +12
Virtual-cell models aim to predict how cell populations respond to perturbations, but control and treated cells are measured as unpaired populations, complicating the learning of p…
GATES: Graph Attention Network with Global Expression Fusion for Deciphering Spatial Transcriptome Architectures
Xiongtao Xiao, Xiaofeng Chen, Feiyan Jiang +5
Single-cell spatial transcriptomics (ST) offers a unique approach to measuring gene expression profiles and spatial cell locations simultaneously. However, most existing ST methods…
ShiftKD: Benchmarking Knowledge Distillation under Distribution Shift
Songming Zhang, Yuxiao Luo, Ziyu Lyu +1
Knowledge Distillation (KD) transfers knowledge from large models to small models and has recently achieved remarkable success. However, the reliability of existing KD methods in r…