Protein interaction networks associated with cardiovascular disease and cancer: exploring the effect of bias on shared network properties

TY - JOUR

T1 - Protein interaction networks associated with cardiovascular disease and cancer: exploring the effect of bias on shared network properties

AU - Dobson, Richard

AU - Munroe, PB

AU - Caulfield, MJ

AU - Saqi, MA

PY - 2014

Y1 - 2014

N2 - The human network of Protein-Protein Interactions (PPIs) (interactome) provides information on biological systems that can be used to aid prediction of protein function and disease association. As some classes of protein may be the focus of much study, data sets may contain bias, which may affect the results of network analyses. Implicated cancer proteins and proteins including significant known mediators of cardiovascular disease (cvd) display a tendency to play a central role in a previously constructed interactome. However, removing possible bias in the interactome by only considering interactions obtained from non-targeted approaches affects the significance of the findings.

AB - The human network of Protein-Protein Interactions (PPIs) (interactome) provides information on biological systems that can be used to aid prediction of protein function and disease association. As some classes of protein may be the focus of much study, data sets may contain bias, which may affect the results of network analyses. Implicated cancer proteins and proteins including significant known mediators of cardiovascular disease (cvd) display a tendency to play a central role in a previously constructed interactome. However, removing possible bias in the interactome by only considering interactions obtained from non-targeted approaches affects the significance of the findings.

M3 - Article

VL - 9

SP - 339

EP - 357

JO - International Journal of Data Mining and Bioinformatics

JF - International Journal of Data Mining and Bioinformatics

IS - 4

ER -