Generic placeholder image

Current Bioinformatics


ISSN (Print): 1574-8936
ISSN (Online): 2212-392X

Research Article

MDAPlatform: A Component-based Platform for Constructing and Assessing miRNA-disease Association Prediction Methods

Author(s): Yayan Zhang, Guihua Duan, Cheng Yan*, Haolun Yi, Fang-Xiang Wu and Jianxin Wang

Volume 16 , Issue 5 , 2021

Published on: 20 January, 2021

Page: [710 - 721] Pages: 12

DOI: 10.2174/1574893616999210120181506

Price: $65


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

Rights & Permissions Print Export Cite as
© 2022 Bentham Science Publishers | Privacy Policy