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

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samples in the class, as well as the average ProbeSet intensity over the samples in the class, show<br />

that there is remarkable consistency <strong>of</strong> the probe response pr<strong>of</strong>iles between experiments, some<br />

examples <strong>of</strong> which are shown in Figure 2.5. ProbeSet responses across samples in a class were<br />

further categ<strong>or</strong>ized based on the outcomes <strong>of</strong> Welsh’s T-tests [51], which were perf<strong>or</strong>med, per<br />

probe, in log2 space with an alpha <strong>of</strong> 0.05. Each set was assigned to one <strong>of</strong> three categ<strong>or</strong>ies,<br />

described above as U, DE and S. Figure 5 shows examples <strong>of</strong> some <strong>of</strong> the results, giving side by<br />

side comparisons. As can be seen, in the U class no significant differences in the class means<br />

were found, while in the DE categ<strong>or</strong>y the sets show significant differences (up <strong>or</strong> down) in the<br />

class means. The S categ<strong>or</strong>y may result in a ProbeSet mean value in either U <strong>or</strong> DE, depending on<br />

the number and contribution to the total intensity <strong>of</strong> the individual probes in the set. The S<br />

categ<strong>or</strong>y <strong>of</strong> ProbeSets thus identifies specific transcript regions <strong>or</strong> probe–target interactions that<br />

need additional analysis to be understood. Provided in the Supplementary Materials is the folder<br />

ProbeLevel: within the folder are files consisting <strong>of</strong> 100 randomly selected ProbeSets per<br />

classification categ<strong>or</strong>y along with a random probe QQplot that demonstrates the T-test’s validity<br />

in discriminating significant differences in this type <strong>of</strong> data.<br />

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