QuantNorm: Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection

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: 1.0.3
Depends: R (≥ 3.4.0)
Imports: stats
Suggests: GGally, ggplot2, network, pheatmap, rgl, sna
Published: 2018-03-06
Author: Teng Fei, Tianwei Yu
Maintainer: Teng Fei <tfei at emory.edu>
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

Downloads:

Reference manual: QuantNorm.pdf
Package source: QuantNorm_1.0.3.tar.gz
Windows binaries: r-devel: QuantNorm_1.0.3.zip, r-release: QuantNorm_1.0.3.zip, r-oldrel: QuantNorm_1.0.3.zip
OS X binaries: r-release: QuantNorm_1.0.3.tgz, r-oldrel: QuantNorm_1.0.3.tgz

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