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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 |
Reference manual: | CoNI.pdf |
Vignettes: |
CoNI |
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 |
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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.