Abstract

Background: Increasing evidence has indicated that miRNA-disease association prediction plays a critical role in the study of clinical drugs. Researchers have proposed many computational models for miRNA-disease prediction. However, there is no unified platform to compare and analyze the pros and cons or share the code and data of these models.

Objective: In this study, we developed an easy-to-use platform (MDAPlatform) to construct and assess miRNA-disease association prediction method.

Methods: MDAPlatform integrates the relevant data of miRNA, disease and miRNA-disease associations that are used in previous miRNA-disease association prediction studies. Based on the componentized model, it develops different components of previous computational methods.

Results: Users can conduct cross validation experiments and compare their methods with other methods, and the visualized comparison results are also provided.

Conclusion: Based on the componentized model, MDAPlatform provides easy-to-operate interfaces to construct the miRNA-disease association method, which is beneficial to develop new miRNA-disease association prediction methods in the future.

Keywords: MiRNA, disease, MicroRNA-disease association, constructing prediction methods, cross-language, componentbased platform.

Graphical Abstract