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.|
|Bioconductor views||Bayesian BiomedicalInformatics Clustering DifferentialExpression ExonArray FeatureExtraction GeneExpression MicroRNAArray Microarray MultipleComparison Proteomics RNASeq Sequencing Software Transcription Transcriptomics mRNAMicroarray|
|Maintainer||Francisco Jose Campos Laborie <[email protected]>|
|Package repository||View on Bioconductor|
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