DCTD_Aginome-XMU Round 1 submitted models

Published: 27 June 2022| Version 1 | DOI: 10.17632/yt79wsksg9.1
Yating Lin


Team Aginome-XMU submitted models to DREAM Challenge Tumor Deconvolution The Challenge consisted of a “coarse-grained” sub-Challenge, during which participants predicted levels of eight major immune and stromal cell populations [including B cells, CD4+ and CD8+ T cells, NK cells, neutrophils, cells within the monocytic lineage (monocytes/macrophages/dendritic cells), endothelial cells, and fibroblasts]. The Challenge also consisted of a “fine-grained” sub-Challenge, during which participants further dissected major populations into 14 minor sub-populations according to their functional orientation (e.g., naive B cells, memory B cells, naive CD4 T cells, memory CD4 T cells, naive.CD8 T cells, memory CD8 T cells, regulatory T cells, monocytes, macrophages, myeloid dendritic cells, NK cells, neutrophils, endothelial cells, and fibroblasts).



Xiamen University


Bioinformatics, Deep Learning