Modeling Causality for Pairs of Phenotypes in System Genetics

@inproceedings{Neto2013ModelingCF,
  title={Modeling Causality for Pairs of Phenotypes in System Genetics},
  author={Elias Chaibub Neto and Aimee Teo Broman and Mark P Keller and Alan D Attie and Bin Zhang and Jun Zhu and Brian S. Yandell},
  booktitle={Genetics},
  year={2013}
}
Current efforts in systems genetics have focused on the development of statistical approaches that aim to disentangle causal relationships among molecular phenotypes in segregating populations. Reverse engineering of transcriptional networks plays a key role in the understanding of gene regulation. However, transcriptional regulation is only one possible mechanism, as methylation, phosphorylation, direct protein-protein interaction, transcription factor binding, etc., can also contribute to… CONTINUE READING
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