Abstract

We developed a deep learning tool called DMISO to capture the intricate features of miRNA/isomiR-mRNA interactions. Based on 10-fold cross-validation, DMISO showed a high precision (95%) and recall (90%). Evaluated on three independent datasets, DMISO had a superior performance to five tools, including three popular conventional tools and two recently developed deep learning based tools. By applying two popular feature interpretation strategies, we also demonstrated the importance of the miRNA regions other than their seeds and the potential contribution of the RNA-binding motifs within miRNAs/isomiRs and mRNAs to the miRNA/isomiR-mRNA interactions.

Download

The source code of DMISO is available here.

Manual

The manual for running the program is available here.

Authors

Amlan Talukder¹, Xiaoman Li² and Haiyan Hu¹

¹Department of Electrical Engineering and Computer Science, University Of Central Florida, Orlando, FL 32826, USA.

²Burnett School of Biomedical Science, University Of Central Florida, Orlando, FL 32826, USA.