openalexZenodo (CERN European Organization for Nuclear Research)
M3SpaDE: A Multi-Modal Deep Learning Framework for Predicting Spatially Resolved Drug Responses
Zihao Zhang, Xinyu Cui, Zhengke Lian, Xiufeng Pang, Ye, Youqiong, Jiang, Cizhong
M3SpaDE (Multi-Modal Model for predicting Spatial Drug Efficacy) is a versatile computational framework designed for predicting drug sensitivity in spatial transcriptomics data. It is resolution-agnostic, capable of processing data ranging from single-cell to spot-level resolutio…
Also available via: European Organization for Nuclear Research