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).
Package details |
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Author | Yu Zhang [aut, cre], Qin Ma [aut] |
Bioconductor views | Clustering DifferentialExpression GeneExpression Microarray MultipleComparison Network StatisticalMethod Visualization |
Maintainer | Yu Zhang <zy26@jlu.edu.cn> |
License | CC BY-NC-ND 4.0 + file LICENSE |
Version | 1.18.0 |
URL | http://github.com/zy26/QUBIC |
Package repository | View on Bioconductor |
Installation |
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