LION: an integrated R package for effective prediction of ncRNA–protein interaction

Author:

Han Siyu1,Yang Xiao2,Sun Hang2,Yang Hu3,Zhang Qi2,Peng Cheng4,Fang Wensi2,Li Ying5

Affiliation:

1. College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, in Jilin University , China

2. College of Computer Science and Technology, Jilin University , Changchun, China

3. 964 Hospital of Joint Logistic Support Force of the Chinese People's Liberation Army

4. School of Software, Tsinghua University , Beijing, China

5. College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University , Changchun, China

Abstract

Abstract Understanding ncRNA–protein interaction is of critical importance to unveil ncRNAs’ functions. Here, we propose an integrated package LION which comprises a new method for predicting ncRNA/lncRNA–protein interaction as well as a comprehensive strategy to meet the requirement of customisable prediction. Experimental results demonstrate that our method outperforms its competitors on multiple benchmark datasets. LION can also improve the performance of some widely used tools and build adaptable models for species- and tissue-specific prediction. We expect that LION will be a powerful and efficient tool for the prediction and analysis of ncRNA/lncRNA–protein interaction. The R Package LION is available on GitHub at https://github.com/HAN-Siyu/LION/.

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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