DESCRIPTION

Package: deco
Type: Package
Title: Decomposing Heterogeneous Cohorts using Omic Data Profiling
Version: 1.9.3
Date: 2019-03-27
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@gmail.com>
biocViews: Software, FeatureExtraction, Clustering, MultipleComparison, DifferentialExpression, 
      Transcriptomics, BiomedicalInformatics, Proteomics, Bayesian,
      GeneExpression, Transcription, Sequencing, Microarray,
      ExonArray, RNASeq, MicroRNAArray, mRNAMicroarray
Description: 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.
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
Suggests: knitr, curatedTCGAData, MultiAssayExperiment, Homo.sapiens, rmarkdown
License: GPL (>=3)
URL: https://github.com/fjcamlab/deco
ZipData: true
LazyLoad: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2019-05-10 09:44:00 UTC;