Fig. 4.

Random Forests clustering. A: best clustering of all base states (n = 6 per state) occurred with 30 protein spots. B: better winter separation occurred by omitting spring and summer. Clustering error was lowest when only 11 protein spots were included. C: Venn diagram depicts the overlap between proteins selected to best classify all base states and those that classify winter groups only. D: abundance changes of input spots for both analyses that achieved at least a 1.3× fold change in the data set, normalized to SpW represent all five patterns from Fig. 2. If multiple isoforms for a given protein are contained within this set of inputs, only the highest fold change isoform is presented.