Corpus ID: 15246209

Deciphering Interactions in Causal Networks without Parametric Assumptions

@article{Zhang2013DecipheringII,
  title={Deciphering Interactions in Causal Networks without Parametric Assumptions},
  author={Yang Zhang and Mingzhou Song},
  journal={arXiv: Molecular Networks},
  year={2013}
}
  • Yang Zhang, Mingzhou Song
  • Published 2013
  • Mathematics, Biology
  • arXiv: Molecular Networks
  • 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. Counter-intuitively, patterns in those interactions effectively revealed by… CONTINUE READING

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