|
|
|
|
|
|
|
This is the development version of iNETgrate; for the stable release version, see iNETgrate.
Bioconductor version: Development (3.19)
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] , Ghazal Ebrahimi [aut], Hanie Samimi [aut], Habil Zare [aut, cre]
Maintainer: Habil Zare <zare at u.washington.edu>
Citation (from within R,
enter citation("iNETgrate")
):
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("iNETgrate")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iNETgrate")
R Script | iNETgrate: Integrating gene expression and DNA methylation data in a gene network | |
Reference Manual | ||
Text | NEWS |
biocViews | BiomedicalInformatics, Classification, Clustering, DNAMethylation, DimensionReduction, GeneExpression, GenePrediction, GraphAndNetwork, KEGG, Network, NetworkInference, Normalization, PrincipalComponent, RNASeq, Software, Survival, SystemsBiology, Transcriptomics, mRNAMicroarray |
Version | 1.1.0 |
In Bioconductor since | BioC 3.18 (R-4.3) (< 6 months) |
License | GPL-3 |
Depends | R (>= 4.3.0), BiocStyle(>= 2.18.1) |
Imports | SummarizedExperiment, GenomicRanges(>= 1.24.1), stats, WGCNA, grDevices, graphics, survival, igraph, Pigengene(>= 1.19.26), Homo.sapiens, glmnet, caret, gplots, minfi, matrixStats, Rfast, tidyr, tidyselect, utils |
LinkingTo | |
Suggests | knitr, org.Hs.eg.db, org.Mm.eg.db, IlluminaHumanMethylation450kanno.ilmn12.hg19, AnnotationDbi, sesameData, TCGAbiolinks(>= 2.29.4) |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/Bioconductor/BiocManager/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | iNETgrate_1.1.0.tar.gz |
Windows Binary | iNETgrate_1.1.0.zip |
macOS Binary (x86_64) | iNETgrate_1.1.0.tgz |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/iNETgrate |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iNETgrate |
Bioc Package Browser | https://code.bioconductor.org/browse/iNETgrate/ |
Package Short Url | https://bioconductor.org/packages/iNETgrate/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: