CRAN/E | CoNI

CoNI

Correlation Guided Network Integration (CoNI)

Installation

About

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.

Citation CoNI citation info
System requirements python3

Key Metrics

Version 0.1.0
R ≥ 4.0
Published 2021-09-30 931 days ago
Needs compilation? no
License GPL-3
CRAN checks CoNI results

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Maintainer

Maintainer

José Manuel Monroy Kuhn

nolozz@gmail.com

Authors

José Manuel Monroy Kuhn

aut / cre

Dominik Lutter

ths

Valentina Klaus

ctb

Material

Reference manual
Package source

Vignettes

CoNI

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

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