Weighted Correlation Network Analysis (WGCNA) Applied to the Tomato Fruit Metabolome

@inproceedings{Dileo2011WeightedCN,
  title={Weighted Correlation Network Analysis (WGCNA) Applied to the Tomato Fruit Metabolome},
  author={Matthew V Dileo and Gary D. Strahan and Meghan den Bakker and Owen A Hoekenga},
  booktitle={PloS one},
  year={2011}
}
BACKGROUND Advances in "omics" technologies have revolutionized the collection of biological data. A matching revolution in our understanding of biological systems, however, will only be realized when similar advances are made in informatic analysis of the resulting "big data." Here, we compare the capabilities of three conventional and novel statistical approaches to summarize and decipher the tomato metabolome. METHODOLOGY Principal component analysis (PCA), batch learning self-organizing… CONTINUE READING

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