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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
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.pdf
Vignettes: CoNI

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 form https://CRAN.R-project.org/package=CoNI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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