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Fig. 5 | BMC Bioinformatics

Fig. 5

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

Fig. 5

Boolean network of CR class. This figure represents the union of optimal BNs learned from the initial PKN and the reduced patients dataset from CR class. This BN can explain and predict the measurements of readouts STMN1 and GAPDH starting from the stimuli FN1 and SMAD6, passing by the inhibitors LEF1, ERBB3, IGF1R and MAPK9, 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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