Predicting microRNA-disease associations using bipartite local models and hubness-aware regression
Abstract
The development and progression of numerous complex human diseases have been confirmed to be associated with microRNAs (miRNAs) by various experimental and clinical studies. Predicting potential miRNA-disease associations can help us understand the underlying molecular and cellular mechanisms of diseases and promote the development of disease treatment and diagnosis. Due to the high cost of conventional experimental verification, proposing a new...
Paper Details
Title
Predicting microRNA-disease associations using bipartite local models and hubness-aware regression
Published Date
Sep 2, 2018
Journal
Volume
15
Issue
9
Pages
1192 - 1205
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