Question: Bioconductor packages/methods for identifying disease subtypes
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4.6 years ago by
United States
informatics bot620 wrote:


I currently have a data set composed of ~108 samples with RNAseq gene-counts and and ~20 clinical attributes (~75 diseased, ~33  healthy). The clinical data contains cell counts, and other clinical tests used to measure lung function. I have used WGCNA extensively, tried some basic regressions with Weka, performed differential expression, and hierarchical clustering. So far I have only verified what others have previously discovered. I was wondering if there is an R package or machine learning technique for combining both RNA-seq and clinical information to help identify novel disease sub-types?


rna-seq complex-disease R • 1.1k views
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