This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see coexnet.
Bioconductor version: 3.15
Extracts the gene expression matrix from GEO DataSets (.CEL files) as a AffyBatch object. Additionally, can make the normalization process using two different methods (vsn and rma). The summarization (pass from multi-probe to one gene) uses two different criteria (Maximum value and Median of the samples expression data) and the process of gene differentially expressed analisys using two methods (sam and acde). The construction of the co-expression network can be conduced using two different methods, Pearson Correlation Coefficient (PCC) or Mutual Information (MI) and choosing a threshold value using a graph theory approach.
Author: Juan David Henao [aut,cre], Liliana Lopez-Kleine [aut], Andres Pinzon-Velasco [aut]
Maintainer: Juan David Henao <judhenaosa at unal.edu.co>
Citation (from within R,
enter citation("coexnet")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("coexnet")
For older versions of R, please refer to the appropriate Bioconductor release.
Reference Manual |
biocViews | DifferentialExpression, GeneExpression, GraphAndNetwork, Microarray, Network, NetworkInference, Normalization, Software, SystemsBiology |
Version | 1.18.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (5 years) |
License | LGPL |
Depends | R (>= 3.6) |
Imports | affy, siggenes, GEOquery, vsn, igraph, acde, Biobase, limma, graphics, stats, utils, STRINGdb, SummarizedExperiment, minet, rmarkdown |
LinkingTo | |
Suggests | RUnit, BiocGenerics, knitr |
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Enhances | |
URL | |
Depends On Me | |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
macOS Binary (x86_64) | |
Source Repository | git clone https://git.bioconductor.org/packages/coexnet |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/coexnet |
Package Short Url | https://bioconductor.org/packages/coexnet/ |
Package Downloads Report | Download Stats |
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