Since the problem proposed in late 2000s, microRNA–disease association (MDA)
predictions have been implemented based on the data fusion paradigm. Integrating diverse …

Currently, there exist no generally accepted strategies of evaluating computational models
for microRNA-disease associations (MDAs). Though K-fold cross validations and case …

Recently, a growing number of biological research and scientific experiments have
demonstrated that microRNA (miRNA) affects the development of human complex diseases …

Motivation In recent years, a large number of biological experiments have strongly shown
that miRNAs play an important role in understanding disease pathogenesis. The discovery …

Circular RNAs (circRNAs) are a group of novel discovered non-coding RNAs with closed-
loop structure, which play critical roles in various biological processes. Identifying …

Accurate identification of the miRNA-disease associations (MDAs) helps to understand the
etiology and mechanisms of various diseases. However, the experimental methods are …

Motivation MicroRNAs (miRNAs) are a class of non-coding RNAs that play critical roles in
various biological processes. Many studies have shown that miRNAs are closely related to …

Cardiovascular disease (CVD) or heart disease is one of the most fatal diseases of the world
that has been observed through-out the last decade. The prediction of CVD in majority of …

MicroRNAs (miRNAs) are significant regulators in various biological processes. They may
become promising biomarkers or therapeutic targets, which provide a new perspective in …

With an in-depth understanding of noncoding ribonucleic acid (RNA), many studies have
shown that microRNA (miRNA) plays an important role in human diseases. Because …