This is the released version of iNETgrate; for the devel version, see iNETgrate.
Integrates DNA methylation data with gene expression in a single gene networkBioconductor version: Release (3.21)
The iNETgrate package provides functions to build a correlation network in which nodes are genes. DNA methylation and gene expression data are integrated to define the connections between genes. This network is used to identify modules (clusters) of genes. The biological information in each of the resulting modules is represented by an eigengene. These biological signatures can be used as features e.g., for classification of patients into risk categories. The resulting biological signatures are very robust and give a holistic view of the underlying molecular changes.
Author: Isha Mehta [aut] ORCID: 0000-0002-6009-0787 , Ghazal Ebrahimi [aut], Hanie Samimi [aut], Habil Zare [aut, cre] ORCID: 0000-0001-5902-6238
Maintainer: Habil Zare <zare at u.washington.edu>
Citation (from within R, entercitation("iNETgrate")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("iNETgrate")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iNETgrate")Follow Installation instructions to use this package in your R session.
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