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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Discriminate the response of Acute Myeloid Leukemia patients to treatment by using proteomics data and Answer Set Programming

Fig. 6

Boolean network of PR class. This figure represents the union of optimal BNs learned from the initial PKN and the reduced patients dataset from PR class. This BN explains and predicts the measurement of readouts PTGS2, TSC2, BAK1 and CASP3 starting from the stimuli FN1, YAP1 and STK11, passing by the inhibitors ERBB3, IGF1R and CASP9, and other intermediate proteins. The thicker edges represent those that are the most frequent paths in the BN family. The association between a node and its predecessors is an AND gate if it is preceded by a filled black circle and an OR gate otherwise

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BMC Bioinformatics

ISSN: 1471-2105

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