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Figure 10 | Proteome Science

Figure 10

From: A guide through the computational analysis of isotope-labeled mass spectrometry-based quantitative proteomics data: an application study

Figure 10

Krzanowski and Lai. The cluster index of Krzanowski and Lai showed both from a biological as well as from a computational point of view meaningful cluster numbers: for the data of experiment A, there were found cluster numbers between 3 for Ward/Euclidean--here a second local maximum was found at 23 clusters--and 43 for Average/Uncentered Pearson as the true clustering of the data; for experiment B, between 14 (Average/Pearson correlation) and 70 (Complete/Euclidean), with a protruding 43-cluster solution applying Ward/Euclidean; and for experiment C, e. g. at seven clusters for Average/Uncentered Pearson, 22 for Ward/Euclidean and 38 for Average/Euclidean.

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ISSN: 1477-5956