recipe bioconductor-qubic

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



CC BY-NC-ND 4.0 + file LICENSE



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 bioconductor-qubic

(downloads) docker_bioconductor-qubic



Required By


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-qubic

and update with:

conda update bioconductor-qubic

or use the docker container:

docker pull<tag>

(see bioconductor-qubic/tags for valid values for <tag>)