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) .


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install.packages("CoNI")

0.1.0 by José Manuel Monroy Kuhn, 21 days ago


Browse source code at https://github.com/cran/CoNI


Authors: José Manuel Monroy Kuhn [aut, cre] , Dominik Lutter [ths] , Valentina Klaus [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports igraph, doParallel, cocor, ggplot2, forcats, dplyr, data.table, tibble, foreach, genefilter, ggrepel, gplots, gridExtra, plyr, ppcor, tidyr, Hmisc, methods, rlang, tidyselect

Suggests kableExtra, knitr, rmarkdown

System requirements: python3


See at CRAN