 
  
 
   
   This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see QUBIC.
Bioconductor version: 3.15
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 "4.2") 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 | 1.24.0 | 
| In Bioconductor since | BioC 3.3 (R-3.3) (6.5 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 | 
| 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_1.24.0.tar.gz | 
| Windows Binary | QUBIC_1.24.0.zip (64-bit only) | 
| macOS Binary (x86_64) | QUBIC_1.24.0.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 | 
 
  Documentation »
Bioconductor
R / CRAN packages and documentation
 
  Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: