Yuqiang Xiong

IRDRM: Exploring Biological Traits and Clinical Significance in Breast Cancer Through Gene Pairs and Somatic Mutation Profiles

Integrated Metabolic-related Transcription Factor Protein Activity for Stratification of Breast Cancer with Distinct Clinical Outcomes

Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm

Machine learning-based prediction of diabetic patients using blood routine data

Integrated Machine Learning Algorithms for Stratification of Patients with Bladder Cancer

Integrated Somatic Mutation Network Diffusion Model for Stratification of Breast Cancer into Different Metabolic Mutation Subtypes

Integrated analysis of patients with bladder cancer from prospective transcription factor activity: Implications for personalized treatment approaches

Integrated analysis of ovarian cancer patients from prospective transcription factor activity reveals subtypes of prognostic significance

Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes

Stratification of ovarian cancer patients from the prospect of drug target-related transcription factor protein activity: the prognostic and genomic landscape analyses

Structural deep clustering network for stratification of breast cancer patients through integration of somatic mutation profiles

A random forest-based metabolic risk model to assess the prognosis and metabolism-related drug targets in ovarian cancer

Deep learning-based transcription factor activity for stratification of breast cancer patients

Integrated multi-cohorts for characterizing the immunogenomic landscape and predicting drug response in triple-negative breast cancer

The Immune-based Prognostic Score for the Immunogenomic LandscapeAanalysis and Application of Chemotherapy in Breast Cancer

Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis

Clinical significance and immunogenomic landscape analyses of the immune cell signature based prognostic model for patients with breast cancer