Deciphering Interactions in Causal Networks without Parametric Assumptions

12 Nov 2013Yang ZhangMingzhou Song

With the assumption that the effect is a mathematical function of the cause in a causal relationship, FunChisq, a chi-square test defined on a non-parametric representation of interactions, infers network topology considering both interaction directionality and nonlinearity. Here we show that both experimental and in silico biological network data suggest the importance of directionality as evidence for causality... (read more)

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