DASC

DOI: 10.18129/B9.bioc.DASC    

Detecting hidden batch factors through data adaptive adjustment for biological effects

Bioconductor version: Release (3.6)

The package is used for identifying batches in high-dimensional dataset.

Author: Haidong Yi, Ayush T. Raman

Maintainer: Haidong Yi <982869874 at qq.com>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DASC")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DASC")

 

PDF	R Script	DASC user guide
HTML	R Script	DASC user guide
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	BatchEffect, Clustering, GeneExpression, GeneTarget, Normalization, Preprocessing, QualityControl, RNASeq, Software, StatisticalMethod
Version	0.99.11
License	MIT + file LICENSE
Depends	R (>= 3.4.0)
Imports	NMF (>= 0.20.6), cvxclustr (>= 1.1.1), Biobase
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, DESeq2, pcaExplorer, testthat, ggplot2
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	DASC_0.99.11.tar.gz
Windows Binary	DASC_1.0.0.zip
Mac OS X 10.11 (El Capitan)
Source Repository	git clone https://git.bioconductor.org/packages/DASC
Package Short Url	http://bioconductor.org/packages/DASC/
Package Downloads Report	Download Stats