DESCRIPTION

Package: dcanr
Title: Differential co-expression/association network analysis
Version: 1.13.8
Authors@R: person("Dharmesh", "Bhuva", "D.", email = "bhuva.d@wehi.edu.au", role = c("aut", "cre"), comment = c(ORCID = '0000-0002-6398-9157'))
Description: This package implements methods and an evaluation framework to infer differential co-expression/association networks. Various methods are implemented and can be evaluated using simulated datasets. Inference of differential co-expression networks can allow identification of networks that are altered between two conditions (e.g., health and disease).
biocViews: NetworkInference, GraphAndNetwork, DifferentialExpression, Network
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: false
Imports: igraph,
    foreach,
    plyr,
    stringr,
    reshape2,
    methods,
    Matrix,
    graphics,
    stats,
    RColorBrewer,
    circlize,
    doRNG
Suggests: EBcoexpress,
    testthat,
    EBarrays,
    GeneNet,
    mclust,
    minqa,
    SummarizedExperiment,
    Biobase,
    knitr,
    rmarkdown,
    BiocStyle,
    edgeR
RoxygenNote: 7.2.0
Collate:
    'LDGM.R'
    'dcZscore.R'
    'dcanr.R'
    'statistical_tests.R'
    'performance_metrics.R'
    'multtest_adjust.R'
    'evaluation_functions.R'
    'inference_methods.R'
    'inference_methods_generic.R'
    'network_inference.R'
    'sim102.R'
    'simulation_accessors.R'
    'simulation_plot.R'
VignetteBuilder: knitr
Enhances: parallel,
    doSNOW,
    doParallel
URL: https://davislaboratory.github.io/dcanr/, https://github.com/DavisLaboratory/dcanr
BugReports: https://github.com/DavisLaboratory/dcanr/issues