UNDO
This is thereleased version of UNDO; for the devel version, seeUNDO.
Unsupervised Deconvolution of Tumor-Stromal Mixed Expressions
Bioconductor version: Release (3.22)
UNDO is an R package for unsupervised deconvolution of tumor and stromal mixed expression data. It detects marker genes and deconvolutes the mixing expression data without any prior knowledge.
Author: Niya Wang <wangny at vt.edu>
Maintainer: Niya Wang <wangny at vt.edu>
Citation (from within R, enter
citation("UNDO")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("UNDO")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("UNDO")| UNDO Usage | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Software |
| Version | 1.52.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (11.5 years) |
| License | GPL-2 |
| Depends | R (>= 2.15.2), methods,BiocGenerics,Biobase |
| Imports | MASS,boot,nnls, stats, utils |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | UNDO_1.52.0.tar.gz |
| Windows Binary (x86_64) | UNDO_1.52.0.zip |
| macOS Binary (x86_64) | UNDO_1.52.0.tgz |
| macOS Binary (arm64) | UNDO_1.52.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/UNDO |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/UNDO |
| Bioc Package Browser | https://code.bioconductor.org/browse/UNDO/ |
| Package Short Url | https://bioconductor.org/packages/UNDO/ |
| Package Downloads Report | Download Stats |