Package: QuantNorm 1.0.5

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>.

Authors:Teng Fei, Tianwei Yu

QuantNorm_1.0.5.tar.gz
QuantNorm_1.0.5.zip(r-4.7)QuantNorm_1.0.5.zip(r-4.6)QuantNorm_1.0.5.zip(r-4.5)
QuantNorm_1.0.5.tgz(r-4.6-any)QuantNorm_1.0.5.tgz(r-4.5-any)
QuantNorm_1.0.5.tar.gz(r-4.7-any)QuantNorm_1.0.5.tar.gz(r-4.6-any)
QuantNorm_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
QuantNorm/json (API)

# Install 'QuantNorm' in R:
install.packages('QuantNorm', repos = c('https://tengfei-emory.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tengfei-emory/quantnorm/issues

Datasets:
  • brain - Brain RNA-Seq data for both human and mouse.
  • ENCODE - Normalized ENCODE raw counts data for both human and mouse.

On CRAN:

Conda:

batch-effects

3.65 score 9 stars 9 scripts 196 downloads 1 mentions 2 exports 0 dependencies

Last updated from:ddb0076bff. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE122
source / vignettesOK169
linux-release-x86_64NOTE132
macos-release-arm64NOTE139
macos-oldrel-arm64NOTE188
windows-develNOTE94
windows-releaseNOTE70
windows-oldrelNOTE76
wasm-releaseOK100

Exports:connection.matrixQuantNorm

Dependencies: