Phenotype-driven transitions in regulatory network structure

@article{Padi2017PhenotypedrivenTI,
  title={Phenotype-driven transitions in regulatory network structure},
  author={Megha Padi and John Quackenbush},
  journal={bioRxiv},
  year={2017}
}
Complex traits and diseases like human height or cancer are often not caused by a single mutation or genetic variant, but instead arise from multiple factors that together functionally perturb the underlying molecular network. Biological networks are known to be highly modular and contain dense “communities” of genes that carry out cellular processes, but these structures change between tissues, during development, and in disease. While many methods exist for inferring networks, we lack robust… 
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