Sample A: Cover Page of Thesis, Project, or Dissertation Proposal

Figure 5.2: NSCLC average probe gain selection model performances. Down selection of ProbeSets by
the average probe gain criterion, as presented by the weighted AUC metric. Gain criterion was calculated
for the k-means clustering performance of the average ProbeSet intensity. Left graphic is kNN
implemented with k=3 and majority voting and right graphic is LDA.
A more suitable approach is to identify the ProbeSets meeting an average probe gain criteria,
which is still less then the aggregated ProbeSet’s information gain. We identified 13 such
ProbeSets, whose average Probe information gain was greater or equal to 0.6 and the aggregated
ProbeSet gain exceeded this threshold. The classification performance of these ProbeSets is
presented in Figure 5.3, again in comparison to the whole data model.
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