To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("DASC")

In most cases, you don't need to download the package archive at all.

DASC

DOI: 10.18129/B9.bioc.DASC    

This is the development version of DASC; to use it, please install the devel version of Bioconductor.

Detecting hidden batch factors through data adaptive adjustment for biological effects

Bioconductor version: Development (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>

Citation (from within R, enter citation("DASC")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/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
In Bioconductor since BioC 3.6 (R-3.4)
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.

Package Source DASC_0.99.11.tar.gz
Windows Binary DASC_0.99.11.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

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