Bioconductor version: Release (3.14)
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 (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("QUBIC")
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("QUBIC")
R Script | QUBIC Tutorial | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Clustering, DifferentialExpression, GeneExpression, Microarray, MultipleComparison, Network, Software, StatisticalMethod, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (6 years) |
License | CC BY-NC-ND 4.0 + file LICENSE |
Depends | R (>= 3.1), biclust |
Imports | Rcpp (>= 0.11.0), methods, Matrix |
LinkingTo | Rcpp, RcppArmadillo |
Suggests | QUBICdata, qgraph, fields, knitr, rmarkdown |
SystemRequirements | C++11, Rtools (>= 3.1) |
Enhances | RColorBrewer |
URL | http://github.com/zy26/QUBIC |
BugReports | http://github.com/zy26/QUBIC/issues |
Depends On Me | |
Imports Me | mosbi |
Suggests Me | runibic |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | QUBIC_1.22.0.tar.gz |
Windows Binary | QUBIC_1.22.0.zip |
macOS 10.13 (High Sierra) | QUBIC_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/QUBIC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/QUBIC |
Package Short Url | https://bioconductor.org/packages/QUBIC/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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