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Factors affecting interactome-based prediction of human genes associated with clinical signs.

Sara González-PérezFlorencio PazosMónica Chagoyen
Published in: BMC bioinformatics (2017)
Our results indicate that the characteristics of the clinical signs and their related diseases should be considered for interpreting the results of network-prediction methods, such as those aimed at discovering disease-related genes and variants. These results are important due the increasing use of clinical signs as an alternative to diseases for studying the molecular basis of human pathologies.
Keyphrases
  • endothelial cells
  • induced pluripotent stem cells