Yang Li

Decoding cell identity with multi-scale explainable deep learning

The paper introduces Cell Decoder, a deep learning model that provides multi-scale interpretability for cell type decoding and data integration, showing its effectiveness in human and mouse datasets.

Exploration of target spaces in the human genome for protein and peptide drugs

The paper systematically explores human genome target spaces for protein and peptide drugs, identifying distinct characteristics and developing genome-wide target estimation models for each.