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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling source/ R- CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 rolling linux/jammy R-4.5 CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 rolling linux/noble R-4.5 CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 latest source/ R- CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 latest linux/jammy R-4.5 CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 latest linux/noble R-4.5 CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 2026-04-26 source/ R- CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 2026-04-23 source/ R- CoNI_0.1.0.tar.gz 941.7 KiB
0.1.0 2025-04-20 source/ R- CoNI_0.1.0.tar.gz 941.7 KiB

Dependencies (latest)

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