A classifier for tumor microenvironment subtype based on ensemble machine learning models
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Updated
Jul 20, 2025 - R
A classifier for tumor microenvironment subtype based on ensemble machine learning models
GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer
MATLAB project for identifying gastrointestinal abnormalities in endoscopic images using CNNs
Recreation and enrichment of the gastric (GC) cancer single-cell RNA-seq (scRNA-seq) data analysis pipeline described in the "Comprehensive analysis of metastatic gastric cancer tumour cells using single‑cell RNA‑seq" by Wang B. et. al, using the raw counts matrix they provide.
This repository contains all codes used in the "The Gastric Microbiome and Gastric Carcinogenesis: Bacterial Diversity, Co-occurrence Patterns and Predictive Models" projects
Collante V, Contreras-Gallardo F, Fuentes F, Fuentes J, Guerrero-Barría A, Guiñez-Sanhueza I, Inostroza C, Ojeda-Altamirano J, Navarrete J, Venegas-Carrasco C. Mortalidad por cáncer gástrico en la región del Biobío durante los años 2012 a 2022. Concepción: Universidad de Concepción; 2025.
Gastric Cancer Diagnosis from Histopathology: A CNN Approach
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