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: 1.0.5
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 <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


Reference manual: QuantNorm.pdf


Package source: QuantNorm_1.0.5.tar.gz
Windows binaries: r-devel: QuantNorm_1.0.5.zip, r-release: QuantNorm_1.0.5.zip, r-oldrel: QuantNorm_1.0.5.zip
macOS binaries: r-release (arm64): QuantNorm_1.0.5.tgz, r-oldrel (arm64): QuantNorm_1.0.5.tgz, r-release (x86_64): QuantNorm_1.0.5.tgz, r-oldrel (x86_64): QuantNorm_1.0.5.tgz
Old sources: QuantNorm archive


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