doi:10.1093/bioinformatics/bty117>). Also available on 'GitHub' <https://github.com/tengfei-emory/QuantNorm>.">

QuantNorm: Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection (original) (raw)

Modifies the distance matrix obtained from data with batch effects, so as to improve the performance of sample pattern detection, such as clustering, dimension reduction, and construction of networks between subjects. The method has been published in Bioinformatics (Fei et al, 2018, <doi:10.1093/bioinformatics/bty117>). Also available on 'GitHub' <https://github.com/tengfei-emory/QuantNorm>.

Version: 1.0.5
Depends: R (≥ 3.3.0)
Imports: stats, utils
Suggests: GGally, ggplot2, network, pheatmap, rgl, sna
Published: 2019-02-01
DOI: 10.32614/CRAN.package.QuantNorm
Author: Teng Fei, Tianwei Yu
Maintainer: Teng Fei
BugReports: https://github.com/tengfei-emory/QuantNorm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: QuantNorm results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=QuantNormto link to this page.