Submit Manuscript  

Article Details


ES-MDA: Enhanced Similarity-based MiRNA-Disease Association.

Author(s):

Ge-Ning Jiang and Li Xu *   Pages 1 - 9 ( 9 )

Abstract:


Accumulating evidences demonstrate that miRNAs can be treated as critical biomarkers in various complex human diseases. Thus, the identifications on potential miRNA-disease associations have become a hotpot for providing better understanding of disease pathology in this field. Recently, with various biological datasets, increasingly computational prediction approaches have been designed to uncover disease-related miRNAs for further experimental validation. To improve the prediction accuracy, several algorithms integrated miRNA similarities of known miRNA-disease associations to enhance the miRNA functional similarity network and disease similarities of known miRNA-disease associations to enhance the disease semantic similarity network. It is anticipated that machine learning methods would become an effective biological resource for clinical experimental guidance.

Keywords:

microRNA, disease, lung cancer, network consistency projection

Affiliation:

Department of Thoracic Surgery, Shanghai Pulmonary Hospital of Tongji University Tongji University, Shanghai 201804, Department of Thoracic Surgery, Shanghai Pulmonary Hospital of Tongji University Tongji University, Shanghai 201804



Read Full-Text article