Asthma datasets: cell-type frequencies, gene expression, metabolite expression, gene modules, metabolite modules and metabolite annotations and demographics data.
An object of class
28 samples x 3 phenotypic variables (time, response and subject)
28 samples x 23 cell-types
28 samples x 5443 gene transcripts
28 samples x 292 metabolites
292 metabolites x 38 annotation variables
28 samples x 229 gene modules based on the KEGG database
28 samples x 60 metabolites modules
Singh et al. DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays. Bioinformatics, Volume 35, Issue 17, 1 September 2019, Pages 3055–3062. (DIABLO datasets)
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