TY  - JOUR
T1  - CirRNAPL: A web server for the identification of circRNA based on extreme learning machine
AU  - Niu, Mengting
AU  - Zhang, Jun
AU  - Li, Yanjuan
AU  - Wang, Cankun
AU  - Liu, Zhaoqian
AU  - Ding, Hui
AU  - Zou, Quan
AU  - Ma, Qin
JO  - Computational and Structural Biotechnology Journal
VL  - 18
SP  - 834
EP  - 842
PY  - 2020
DA  - 2020/01/01/
SN  - 2001-0370
DO  - https://doi.org/10.1016/j.csbj.2020.03.028
UR  - https://www.sciencedirect.com/science/article/pii/S2001037019305264
KW  - Circular RNA
KW  - Extreme learning machine
KW  - Particle swarm optimization algorithm
KW  - Identification
KW  - Expression level
AB  - 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/.
ER  -