multiWGCNA - multiWGCNA
An R package for deeping mining gene co-expression networks in multi-trait expression data. Provides functions for analyzing, comparing, and visualizing WGCNA networks across conditions. multiWGCNA was designed to handle the common case where there are multiple biologically meaningful sample traits, such as disease vs wildtype across development or anatomical region.
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sequencingrnaseqgeneexpressiondifferentialexpressionregressionclustering
4.60 score 9 scripts 341 downloadsmultiWGCNAdata - Data Package for multiWGCNA
Stores expression profiling data from experiments compatible with the multiWGCNA R package. This includes human postmortem microarray data from patients and controls (GSE28521), astrocyte Ribotag RNA-seq data from EAE and wildtype mice (GSE100329), and mouse RNA-seq data from tau pathology (rTg4510) and wildtype control mice (GSE125957). These data can be accessed using the ExperimentHub workflow (see multiWGCNA vignettes).
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experimenthubexpressiondatahomo_sapiens_datamus_musculus_datarnaseqdatamicroarraydatadatapkg
4.00 score 1 scripts