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-4.5)QuantNorm_1.0.5.zip(r-4.4)QuantNorm_1.0.5.zip(r-4.3)
QuantNorm_1.0.5.tgz(r-4.4-any)QuantNorm_1.0.5.tgz(r-4.3-any)
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QuantNorm_1.0.5.tgz(r-4.4-emscripten)QuantNorm_1.0.5.tgz(r-4.3-emscripten)
QuantNorm.pdf |QuantNorm.html
QuantNorm/json (API)

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

Peer review:

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

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

On CRAN:

batch-effects

3.65 score 9 stars 9 scripts 105 downloads 1 mentions 2 exports 0 dependencies

Last updated 5 years agofrom:ddb0076bff. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winNOTEOct 27 2024
R-4.4-macNOTEOct 27 2024
R-4.3-winNOTEOct 27 2024
R-4.3-macNOTEOct 27 2024

Exports:connection.matrixQuantNorm

Dependencies: