Cellular senescence plays a critical role in physiological and pathological processes. This study aims to elucidate the contribution of cellular senescence-related genes to disease etiology. We investigated a cohort study of 439,501 individuals, which included 22 cancers and 9 non-cancer diseases. We found that HLA-E a...
Bin Liu, Wei-Dong Wu, Chang Liu et al.· Molecular Carcinogenesis· 0 citations
EmitGCL is developed, a deep-learning framework to predict metastasis and related biomarkers using cancer single-cell sequencing data, enabling and validating the discovery of occult metastases and breast cancer metastasis biomarkers.
Xiaoying Wang, Maoteng Duan, Anthony J. Snyder et al.· Nature Communications· 0 citations
Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis is a major clinical challenge due to the lack of validated biomarkers and effective assessment methods. Here, we present EmitGCL, a deep-learning framework that accurately predicts future metastasis and its corresponding...
Xiaoying Wang, Maoteng Duan, Po-Lan Su et al.· bioRxiv· 0 citations
An integrated single-cell RNA sequencing atlas across mouse models of PKD is constructed, mapping changes in cell type composition, gene expression, and intercellular signaling networks across the whole atlas and within individual models.
S. Miller, Hua Zhong, Weidong Wu et al.· JCI Insight· 0 citations
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