deco

DOI:10.18129/B9.bioc.deco

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, seedeco.

Decomposing Heterogeneous Cohorts using Omic Data Profiling

Bioconductor version: 3.10

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

Installation

To install this package, start R (version "3.6") and enter:

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

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

Documentation

查看文档的版本包age 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	1.2.0
In Bioconductor since	BioC 3.9 (R-3.6) (1 year)
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
SystemRequirements
Enhances
URL	https://github.com/fjcamlab/deco
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	deco_1.2.0.tar.gz
Windows Binary	deco_1.2.0.zip(32- & 64-bit)
Mac OS X 10.11 (El Capitan)	deco_1.2.0.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	//www.andersvercelli.com/packages/deco/
Package Downloads Report	Download Stats