There are 7 repositories under tcga-data topic.
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
TCGAbiolinks
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
R data package for pre-compiled somatic mutations from TCGA cohorts (from Broad Firehose and TCGA MC3 Project)
Cancer-dedicated gene set interpretation
TCGAbiolinksGUI code development for R/Bioconductor submission http://tcgabiolinks.fmrp.usp.br:3838/
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
Multi-omic Integration and Analysis of cBioPortal and TCGA data with MultiAssayExperiment
Bioinformatics Pipeline
A database for microRNA-gene/protein expression correlation in cancer.
Computational approach to identify Survival associated Pairwise Gene Expression states.
GNU Make-driven workflow to download TCGA data via the TCGAbiolinks package
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
This repo stores codes for the analysis of tasrkleat results on TCGA RNA-Seq dataa
A Community Curated Immune Resource Database in R format
Examples on processing and working with TCGA mutation and RNA-Seq data
Genomic data from TCGA ready to be used (organized per tissue type and in matrix form)
This repository has the code for the AWS blog post - Enabling the aggregation and query of The Cancer Genome Atlas using AWS Glue and Amazon Athena
Clasterization of TCGA dataset. Data preprocessing, visualization and clasterization with different alghoritms. Done mostly with Python 3.7 and Scikit-Learn library.
Use this program can let user quickly combine the miRNA/Gene expression and clinical data. Speed up the data preprocessing step.
Genomic Data Commons Query
XGEP for expression-based prediction of human essential genes and candidate lncRNAs in cancer cells
Scripts to manage biotab files from TCGA.
The Cancer Genome Atlas (TCGA), a cancer genomics reference program, has molecularly characterized more than 20,000 primary cancer samples and paired normal samples covering 33 types of cancer. This joint effort between the NCI and the National Human Genome Research Institute began in 2006.
SOPHYSM - SOlid tumors PHYlogenetic Spatial Modeller - Julia GUI for Histological Analysis and Cancer Simulation
This project focuses on analyzing gene expression data from TCGA cancer data to derive associations among genes as well as disease phenotypes, co-expression signatures, and survival analysis.
Supplementary R scripts for the manuscript "Disrupting PGE2/EP3 signaling in cancer-associated fibroblasts limits mammary carcinoma growth but promotes metastasis"