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Figure 7 | Algorithms for Molecular Biology

Figure 7

From: Characteristics of predictor sets found using differential prioritization

Figure 7

Separation of classes for a 4-class OVA-based toy dataset. Separation of classes by predictor sets obtained using several values of the DDP: 0.2, 0.5 (equal-priorities scoring method), and α E MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacqWFXoqydaqhaaWcbaGaemyraueabaGaey4fIOcaaaaa@3081@ for a 4-class OVA-based toy dataset. The mean of the i-th member of a predictor set across samples belonging to class k is represented by the intensity of the grayscale shading in a rectangular patch located on the i-th row and the k-th column.

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