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) .


Reference manual

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0.1.0 by José Manuel Monroy Kuhn, 21 days ago

Browse source code at

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