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CirRNAPL: A web server for the identification of circRNA based on extreme learning machine.

Abstract：

:Circular RNA (circRNA) plays an important role in the development of diseases, and it provides a novel idea for drug development. Accurate identification of circRNAs is important for a deeper understanding of their functions. In this study, we developed a new classifier, CirRNAPL, which extracts the features of nucleic acid composition and structure of the circRNA sequence and optimizes the extreme learning machine based on the particle swarm optimization algorithm. We compared CirRNAPL with existing methods, including blast, on three datasets and found CirRNAPL significantly improved the identification accuracy for the three datasets, with accuracies of 0.815, 0.802, and 0.782, respectively. Additionally, we performed sequence alignment on 564 sequences of the independent detection set of the third data set and analyzed the expression level of circRNAs. Results showed the expression level of the sequence is positively correlated with the abundance. A user-friendly CirRNAPL web server is freely available at http://server.malab.cn/CirRNAPL/.

journal_name

Comput Struct Biotechnol J

journal_title

Computational and structural biotechnology journal

authors

Niu M,Zhang J,Li Y,Wang C,Liu Z,Ding H,Zou Q,Ma Q

doi

10.1016/j.csbj.2020.03.028

subject

Has Abstract

pub_date

2020-04-02 00:00:00

pages

834-842

issn

2001-0370

pii

S2001-0370(19)30526-4

journal_volume

18

pub_type

杂志文章

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