Fig. 2
The probabilistic bipartite Boolean modeling method can handle complex cases. Here, we consider a reaction with one absolute requirement (!S1), two positive quantitative modifiers (K+ S2, K+ S3), two negative quantitative modifiers (K- S4, K- S5) and one absolute inhibition (× S6). The Boolean functions are generated according to the number of positive (red box) that are TRUE and negative effectors (blue box) that are FALSE. The probability assigned to each Boolean function, except for the false function, increases k times as the number of fulfilled quantitative conditions in a set (purple box) increases, where the total probability of the Boolean functions (= p 0 + p 1 + p 2 + p 3 + p 4 + p FALSE) is 1