Wei Wang

Latest

Editorial: Clinical risk assessment and intervention of gastrointestinal tumors driven by big-data
The landscape of objective response rate of anti-PD-1/L1 monotherapy across 31 types of cancer: a system review and novel biomarker investigating
An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
Editorial: Medical knowledge-assisted machine learning technologies in individualized medicine
Medical knowledge-assisted machine learning technologies in individualized medicine
Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
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.
PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion
OCaMIR—a noninvasive, diagnostic signature for early-stage ovarian cancer: a multi-cohort retrospective and prospective study
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
DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
Molecular subtyping of colorectal cancer: Recent progress, new challenges and emerging opportunities
Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines
HTSanalyzeR2: An Ultra-Fast R/Bioconductor Package for High-Throughput Screens with Interactive Report
Poor-prognosis nasopharyngeal carcinoma as defined by a molecularly distinct subgroup and prediction by a miRNA expression signature