DeSide: A unified deep learning approach for cellular decomposition of bulk tumors based on limited scRNA-seq data
Xin Xiong, Yerong Liu, Dandan Pu, Zhu Yang, Zedong Bi, Liang Tian, Xuefei Li
DeSide uses limited scRNA-seq data to estimate cell type proportions in bulk tumor samples, outperforming existing methods and enabling patient stratification based on survival rates.
Proceedings of the National Academy of Sciences · Nov 8, 2024Peer-reviewedBioinformatics