An R package for integrated differential expression and differential network analysis based on omic data for biomarker candidate selection. Both correlation and partial correlation can be used to generate differential network to aid the traditional differential expression analysis to identify changes between biomolecules on both their expression and pairwise association levels.
|Author||Yiming Zuo with contributions from Kian Ghaffari and Zhenzhi Li|
|Bioconductor views||BiologicalQuestion DifferentialExpression MassSpectrometry Metabolomics ResearchField Software StatisticalMethod|
|Maintainer||Yiming Zuo <firstname.lastname@example.org> and Kian Ghaffari <email@example.com>|
|Package repository||View on GitHub|
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