gastric-cancer

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

This repository contains all codes used in the "The Gastric Microbiome and Gastric Carcinogenesis: Bacterial Diversity, Co-occurrence Patterns and Predictive Models" projects

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.

MATLAB project for identifying gastrointestinal abnormalities in endoscopic images using CNNs

Biological Hybrid AI pipeline for molecular subtyping of gastric cancer using multi-omics data (WES + DNA methylation + clinical). 91.2% accuracy, 100% MSI recall, 57.1% POLE recall.

Single-cell RNA-Seq Analysis in Gastric Cancer to validate the expression of KCNQ1 & Co in the Intestinal and Diffuse subtypes/EMT

AI-powered Early Gastric Cancer Risk Estimation System built with Streamlit and XGBoost. Predicts patient risk using clinical and lifestyle factors, provides an interactive risk dashboard with explainable insights, confidence scores, clinical recommendations, and Responsible AI guardrails for educational and decision support purposes.

Single-cell RNA-seq analysis of GSE150290 to study KCNQ1, KCNE2 and KCNE3 along the intestinal vs diffuse tumor axis in gastric cancer.

Single-cell analysis of EMT and tumor-microenvironment signaling in gastric cancer with lncRNA prioritization and TCGA-STAD validation.

Code and reproducibility records for cross-platform gastric cancer survival-model transportability

Deconvolucao imune de tumores gastricos com CIBERSORT

Gastric Cancer Diagnosis from Histopathology: A CNN Approach

Single-cell RNA-seq do microambiente tumoral gastrico

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.

A two-stage deep learning pipeline (VGG16 Classifier + Custom Mask R-CNN Segmenter) for Gastric Cancer detection and polyp segmentation with a Tkinter GUI.

Metatranscriptomica: interacao EBV e H. pylori em cancer gastrico