Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
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Updated
Feb 25, 2026 - R
Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
TCGAbiolinks
📦 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/
Provide R access to the NCI Genomic Data Commons portal.
Bioconductor package for management of multi-assay data
Interactive R package to quantify, analyse and visualise alternative splicing
Toolbox package for organizing and working with TCGA data
A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
The pipeline to produce TCGA data as MultiAssayExperiment objects
Batch-harmonized ML framework for cross-cohort RNA biomarker discovery in pancreatic adenocarcinoma — bioRxiv 2025 (doi:10.1101/2025.11.14.688421)
DEEPEST-Fusion is a fusion detection algorithm specially designed for screening massive cancer sequencing databases
Supplementary Material of manuscript, and Cutoff Finding R script
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Simulation of interactions miRNA:Competing Targets
Example data to TCGAWorkflow
Resolving the GPRC5A prognostic paradox in PDAC: subtype stratification, treatment deconfounding, proteomics, AlphaFold2, ML (R) — manuscript in prep
HNSCC survival analysis
Benchmark survival ML models against a multimodal TCGA dataset
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