DAVISLABORATORY . GITHUB . IO {
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Title:
dcanr • dcanr
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).
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12 years and 3 months (reg. 2013-03-08).
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Keywords {🔍}
differential, network, package, dcanr, data, umekd, adjp, coexpressionassociation, bioconductor, load, simulated, ume, emat, zscore, method, spearman, selected, pvalues, dcnetworkzscores, dharmesh, bhuva, reference, articles, changelog, analysis, methods, evaluation, framework, inference, networks, installation, download, requirenamespacebiocmanager, quietly, true, installpackagesbiocmanager, biocmanagerinstalldcanr, install, development, version, github, biocmanagerinstalldavislaboratorydcanr, installed, session, librarydcanr, shows, derived, datasim, expression, conditions,
Topics {✒️}
expression/association networks raw p-values z-score method simulated data expression data expression network' method = 'spearman' differential network selected plot davislaboratory/dcanr z-test dharmesh method = 'zscore' method = 'fdr' evaluation framework installation download quietly = true development version full = false emat statistical test default thresholds main = 'differential coloured based positive represented links view site built 'ume6' knock bhuva author installed package bioconductor ume6_kd dcanr 1 dcanr load dctest raw_p dcnetwork dcnet differential adjust score z_scores = 'ume6' bhuva adj_p package inference requirenamespace biocmanager
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