Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
-
Updated
Nov 7, 2024 - R
Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
TCGAbiolinks
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Building classifiers using cancer transcriptomes across 33 different cancer-types
📦 An R package for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq https://cran.r-project.org/web/packages/UCSCXenaTools/
Putting machine learning in the hands of cancer biologists
Provide R access to the NCI Genomic Data Commons portal.
Bioconductor package for management of multi-assay data
BioBombe: Sequentially compressed gene expression features enhances biological signatures
This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.
PathwayMapper: An interactive and collaborative graphical curation tool for cancer pathways
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages
Interactive R package to quantify, analyse and visualise alternative splicing
Tool to download/merge RNASeq data from the GDC Portal in matrices identified by TCGA barcode
Toolbox package for organizing and working with TCGA data
TCGA data acquisition and processing for Project Cognoma
A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
Add a description, image, and links to the tcga topic page so that developers can more easily learn about it.
To associate your repository with the tcga topic, visit your repo's landing page and select "manage topics."