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 |
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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:
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