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CoNI: Correlation Guided Network Integration (CoNI)

Integrates two numerical omics data sets from the same samples using partial correlations. The output can be represented as a network, bipartite graph or a hypergraph structure. The method used in the package refers to Klaus et al (2021) <doi:10.1016/j.molmet.2021.101295>.

Version:0.1.0
Depends:R (≥ 4.0)
Imports:igraph (≥ 1.2.6),doParallel (≥ 1.0.16),cocor (≥ 1.1.3),ggplot2 (≥ 3.3.3),forcats (≥ 0.5.1),dplyr (≥ 1.0.5),data.table (≥ 1.13.7),tibble (≥ 3.1.0),foreach (≥ 1.5.1),genefilter (≥ 1.72.1),ggrepel (≥ 0.9.1),gplots (≥ 3.1.1),gridExtra (≥ 2.3),plyr (≥ 1.8.6),ppcor (≥ 1.1),tidyr (≥1.1.3),Hmisc (≥ 4.4.2), methods (≥ 4.0.3),rlang (≥0.4.10),tidyselect (≥ 1.1.0)
Suggests:kableExtra (≥ 1.3.2),knitr (≥ 1.31),rmarkdown (≥ 2.6)
Published:2021-09-30
DOI:10.32614/CRAN.package.CoNI
Author:José Manuel Monroy Kuhn [aut, cre], Dominik Lutter [ths], Valentina Klaus [ctb]
Maintainer:José Manuel Monroy Kuhn <nolozz at gmail.com>
License:GPL-3
NeedsCompilation:no
SystemRequirements:python3
Citation:CoNI citation info
CRAN checks:CoNI results

Documentation:

Reference manual:CoNI.html ,CoNI.pdf
Vignettes:CoNI (source,R code)

Downloads:

Package source: CoNI_0.1.0.tar.gz
Windows binaries: r-devel:CoNI_0.1.0.zip, r-release:CoNI_0.1.0.zip, r-oldrel:CoNI_0.1.0.zip
macOS binaries: r-release (arm64):CoNI_0.1.0.tgz, r-oldrel (arm64):CoNI_0.1.0.tgz, r-release (x86_64):CoNI_0.1.0.tgz, r-oldrel (x86_64):CoNI_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=CoNIto link to this page.


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