deco

DOI: 10.18129/B9.bioc.deco    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see deco.

Decomposing Heterogeneous Cohorts using Omic Data Profiling

Bioconductor version: 3.15

This package discovers differential features in hetero- and homogeneous omic data by a two-step method including subsampling LIMMA and NSCA. DECO reveals feature associations to hidden subclasses not exclusively related to higher deregulation levels.

Author: Francisco Jose Campos-Laborie, Jose Manuel Sanchez-Santos and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain.

Maintainer: Francisco Jose Campos Laborie <fjcamlab at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("deco")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("deco")

 

HTML	R Script	deco
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bayesian, BiomedicalInformatics, Clustering, DifferentialExpression, ExonArray, FeatureExtraction, GeneExpression, MicroRNAArray, Microarray, MultipleComparison, Proteomics, RNASeq, Sequencing, Software, Transcription, Transcriptomics, mRNAMicroarray
Version	1.12.0
In Bioconductor since	BioC 3.9 (R-3.6) (3.5 years)
License	GPL (>=3)
Depends	R (>= 3.5.0), AnnotationDbi, BiocParallel, SummarizedExperiment, limma
Imports	stats, methods, ggplot2, foreign, graphics, BiocStyle, Biobase, cluster, gplots, RColorBrewer, locfit, made4, ade4, sfsmisc, scatterplot3d, gdata, grDevices, utils, reshape2, gridExtra
LinkingTo
Suggests	knitr, curatedTCGAData, MultiAssayExperiment, Homo.sapiens, rmarkdown
SystemRequirements
Enhances
URL	https://github.com/fjcamlab/deco
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	deco_1.12.0.tar.gz
Windows Binary	deco_1.12.0.zip (64-bit only)
macOS Binary (x86_64)	deco_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/deco
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/deco
Package Short Url	https://bioconductor.org/packages/deco/
Package Downloads Report	Download Stats