Ze-Ping HUANG

Ze-Ping HUANG

Medical Student

Sun Yat-sen University



Dr. Ze-Ping HUANG joined us as a Gastroenterologist of Department of Colorectal Surgery at the Sixth Affiliated Hospital of Sun Yat-sen University.He is interested in applying bioinformatics to medical research and his research project is to use imaging data to predict the prognosis of intestinal tumors. He started a new PhD career under the subject group of Director Wang Hui.

Interests

  • Bioinformatics
  • Colorectal Cancer

Education

  • Master of Medicine in Clinical Medicine, 2019 - 2022

    Sun Yat-sen University

  • Bachelor of Medicine in Clinical Medicine, 2014 - 2019

    Southern Medical University

Publications

An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study
Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
A transcription factor signature can identify the CMS4 subtype and stratify the prognostic risk of colorectal cancer
A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
Multi-size deep learning based preoperative computed tomography signature for prognosis prediction of colorectal cancer
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer
Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping