Similarity-based methods for potential human microRNA-disease association prediction.

ABSTRACT:

Background

The identification of microRNA-disease associations is critical for understanding the molecular mechanisms of diseases. However, experimental determination of associations between microRNAs and diseases remains challenging. Meanwhile, target diseases need to be revealed for some new microRNAs without any known target disease association information as new microRNAs are discovered each year. Therefore, computational methods for microRNA-disease association prediction have gained a lot of research interest.

Methods

Herein, based on the assumption that functionally related microRNAs tend to be associated with phenotypically similar diseases, three inference methods were presented for microRNA-disease association prediction, namely MBSI (microRNA-based similarity infe

SUBMITTER: Chen H 

PROVIDER: S-EPMC3629999 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature