To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("QUBIC")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
The core function of this R package is to provide the implementation of the well-cited and well-reviewed QUBIC algorithm, aiming to deliver an effective and efficient biclustering capability. This package also includes the following related functions: (i) a qualitative representation of the input gene expression data, through a well-designed discretization way considering the underlying data property, which can be directly used in other biclustering programs; (ii) visualization of identified biclusters using heatmap in support of overall expression pattern analysis; (iii) bicluster-based co-expression network elucidation and visualization, where different correlation coefficient scores between a pair of genes are provided; and (iv) a generalize output format of biclusters and corresponding network can be freely downloaded so that a user can easily do following comprehensive functional enrichment analysis (e.g. DAVID) and advanced network visualization (e.g. Cytoscape).
Author: Yu Zhang [aut, cre], Qin Ma [aut]
Maintainer: Yu Zhang <zy26 at jlu.edu.cn>
Citation (from within R,
enter citation("QUBIC")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("QUBIC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("QUBIC")
Follow Installation instructions to use this package in your R session.
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