Cheng Quan

This study identifies SPP1+ tumor-associated macrophages as a key driver of radioresistance in nasopharyngeal carcinoma through interactions with the tumor microenvironment.

RegVar predicts tissue-specific impact of noncoding regulatory variants on target genes using a deep neural network, outperforming existing methods.

This study identifies structural variations in Tibetans and Han populations, revealing adaptive SVs and introgression linked to high-altitude adaptation.

DeepHiC enhances Hi-C data resolution using a generative adversarial network, improving chromatin loop and TAD detection accuracy from low-coverage sequencing data.