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 …

Identifying new indications for drugs plays an essential role at many phases of drug
research and development. Computational methods are regarded as an effective way to …

MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …

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 …

Previous studies have confirmed microRNA (miRNA), small single-stranded non-coding
RNA, participates in various biological processes and plays vital roles in many complex …

Abstract miRNAs are a class of small non-coding RNA molecules that play important roles in
gene regulation. They are crucial for maintaining normal cellular functions, and …

Identifying disease-associated microRNAs (miRNAs) could help understand the deep
mechanism of diseases, which promotes the development of new medicine. Recently …

Insulin is a kind of protein that regulates the blood sugar levels is significant to prevent
complications associated with diabetes, such as cancer, neurodegenerative disorders …

Integrating multi-view information to gain a new understanding of complex disease like
Alzheimer's disease (AD) has great clinical value. Hypergraphs have unique advantages in …