tjhwangxiong / TCGAplotLinks
A number of functions were generated to perform pan-cancer DEG analysis, correlation analysis between gene expression and TMB, MSI, TIME, and promoter methylation. Methods for visualization were provided in order to easily perform integrative pan-cancer multi-omics analysis.
☆107Updated 2 months ago
Alternatives and similar repositories for TCGAplot
Users that are interested in TCGAplot are comparing it to the libraries listed below
Sorting:
- An implement R package to visualize GSEA results☆169Updated 2 months ago
- IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.☆244Updated last month
- plots function for array☆93Updated 11 months ago
- This is the repository that contains the analysis of the lung adenocarcinoma single cell dataset☆147Updated 4 years ago
- ☆108Updated 2 years ago
- Make TCGA download and prepare easy!☆127Updated last year
- The goal of `ggVolcano` is to help users make a beautiful volcano map more easily, including general volcano plot(`ggvolcano`), gradient …☆86Updated 2 years ago
- Quantifying metabolism activity at the single-cell resolution☆135Updated 9 months ago
- ☆94Updated 5 years ago
- Machine learning-based integration model with elegant performance☆129Updated last month
- A package for reference mapping and nice visualization☆20Updated last year
- This repository contains the code used to generate figures and perform analysis for the manuscript titled "Transcriptomic and Spatial Pro…☆82Updated 7 months ago
- Scissor package☆222Updated last year
- ☆139Updated last week
- ☆21Updated last month
- Clone of the Bioconductor repository for the SingleR package.☆191Updated 2 weeks ago
- The integration of single cell rank-based gene set enrichment analysis☆122Updated 10 months ago
- collected resource for scRNA-seq analysis☆59Updated last year
- Multi-Omics integration and VIsualization in Cancer Subtyping☆144Updated 3 years ago
- I redo the ScRNA analysis in the paper of Wang et al 2020, Nat Comm. Here's my modified script for Helen He Zhu github (https://github.co…☆12Updated 3 years ago
- ☆104Updated 4 years ago
- CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.