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DOI: 10.18129/B9.bioc.QUBIC    

An R package for qualitative biclustering in support of gene co-expression analyses

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>

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PDF R Script QUBIC Tutorial
PDF   Reference Manual
Text   NEWS


biocViews Clustering, DifferentialExpression, GeneExpression, Microarray, MultipleComparison, Network, Software, StatisticalMethod, Visualization
Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 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
Depends On Me
Imports Me
Suggests Me
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