deco: Decomposing Heterogeneous Cohorts using Omic Data Profiling

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.

Package overview README.md DECO

Vignettes Man pages API and functions Files

Package details
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.
Bioconductor views	Bayesian BiomedicalInformatics Clustering DifferentialExpression ExonArray FeatureExtraction GeneExpression MicroRNAArray Microarray MultipleComparison Proteomics RNASeq Sequencing Software Transcription Transcriptomics mRNAMicroarray
Maintainer	Francisco Jose Campos Laborie <fjcamlab@gmail.com>
License	GPL (>=3)
Version	1.6.0
URL	https://github.com/fjcamlab/deco
Package repository	View on Bioconductor
Installation	Install the latest version of this package by entering the following in R: `if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("deco")`