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)
QuantNorm_1.0.5.tar.gz(r-4.5-noble)QuantNorm_1.0.5.tar.gz(r-4.4-noble)
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'))

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 174 downloads 1 mentions 2 exports 0 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 25 2025
R-4.5-winNOTEJan 25 2025
R-4.5-linuxNOTEJan 25 2025
R-4.4-winNOTEJan 25 2025
R-4.4-macNOTEJan 25 2025
R-4.3-winNOTEJan 25 2025
R-4.3-macNOTEJan 25 2025

Exports:connection.matrixQuantNorm

Dependencies: