Tutorials- Statistical and Multivariate Analysis for Metabolomics
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
- 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.
This entry was posted on February 17, 2014 by dgrapov. It was filed under Uncategorized and was tagged with biochemical network, chemical similarity network, Cytoscape, data analysis, data visualization, Devium, ggplot2, hierarchical clustering, mass spectral similarity, metabolomics, MetaMapR, network, O-PLS, O-PLS-DA, PCA, R, r-bloggers, shiny, TeachingDemos, tutorial.