Network-based ranking methods for prediction of novel disease associated microRNAs
MicroRNA functional similarity networks are small-worldness and scale-free. Performance on the integrated miRNA network was better than that on individual ones. RWR, PRINCE, PRP and KSM perform comparably and are stable with change of parameters. Six novel breast cancer-associated miRNAs were predicted. Network-based ranking methods can be used effectively for disease miRNA prediction.
network-based ranking algorithm prediction of novel disease-associated micrornas breast cancer