CrossICC

DOI: 10.18129/B9.bioc.CrossICC    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see CrossICC.

An Interactive Consensus Clustering Framework for Multi-platform Data Analysis

Bioconductor version: Release (3.13)

CrossICC utilizes an iterative strategy to derive the optimal gene set and cluster number from consensus similarity matrix generated by consensus clustering and it is able to deal with multiple cross platform datasets so that requires no between-dataset normalizations. This package also provides abundant functions for visualization and identifying subtypes of cancer. Specially, many cancer-related analysis methods are embedded to facilitate the clinical translation of the identified cancer subtypes.

Author: Yu Sun <suny226 at mail2.sysu.edu.cn>, Qi Zhao <zhaoqi at sysucc.org.cn>

Maintainer: Yu Sun <suny226 at mail2.sysu.edu.cn>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CrossICC")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF		Reference Manual

Details

biocViews	BatchEffect, Classification, Clustering, DifferentialExpression, FeatureExtraction, GUI, GeneExpression, GeneSetEnrichment, Microarray, Normalization, Preprocessing, RNASeq, Software, Survival, Visualization
Version	1.6.0
In Bioconductor since	BioC 3.10 (R-3.6) (2 years)
License	GPL-3 | file LICENSE
Depends	R (>= 3.5), MASS
Imports	data.table, methods, MergeMaid, ConsensusClusterPlus, limma, cluster, dplyr, Biobase, grDevices, stats, graphics, utils
LinkingTo
Suggests	rmarkdown, testthat, knitr, shiny, shinydashboard, shinyWidgets, shinycssloaders, DT, ggthemes, ggplot2, pheatmap, RColorBrewer, tibble, ggalluvial
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/CrossICC
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CrossICC
Package Short Url	https://bioconductor.org/packages/CrossICC/
Package Downloads Report	Download Stats