(This article was first published on Creative Data Solutions » r-bloggers, and kindly contributed to R-bloggers)
I recently had the pleasure in participating in the 2014 WCMC Statistics for Metabolomics Short Course. The course was hosted by the NIH West Coast Metabolomics Center and focused on statistical and multivariate strategies for metabolomic data analysis. A variety of topics were covered using 8 hands on tutorials which focused on:
data quality overview
statistical and power analysis
clustering
principal components analysis (PCA)
partial least squares (O-/PLS/-DA)
metabolite enrichment analysis
biochemical and structural similarity network construction
network mapping
I am happy to have taught the course using all open source software, including: R, and Cytoscape. The data analysis and visualization were done using Shiny-based apps: DeviumWeb and MetaMapR. Check out some of the slides below or download all the class material and try it out for yourself.
2014 WCMC LC-MS Data Processing and Statistics for Metabolomics by Dmitry Grapov is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Special thanks to the developers of Shiny and Radiant by Vincent Nijs.
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