LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification.

Zhou, Liqian; Duan, Qi; Tian, Xiongfei; Xu, He; Tang, Jianxin; Peng, Lihong

Zhou, Liqian; Duan, Qi; Tian, Xiongfei; Xu, He; Tang, Jianxin; Peng, Lihong.

Affiliation

Zhou L; School of Computer, Hunan University of Technology, Zhuzhou, China.
Duan Q; School of Computer, Hunan University of Technology, Zhuzhou, China.
Tian X; School of Computer, Hunan University of Technology, Zhuzhou, China.
Xu H; School of Computer, Hunan University of Technology, Zhuzhou, China.
Tang J; College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou, China. jxtang0733@163.com.
Peng L; School of Computer, Hunan University of Technology, Zhuzhou, China. plhhnu@163.com.

BMC Bioinformatics ; 22(1): 568, 2021 Nov 26.

Article in En | MEDLINE | ID: mdl-34836494

Subject(s)

RNA, Long Noncoding; Amino Acid Sequence; Computational Biology; Neural Networks, Computer; RNA, Long Noncoding/genetics; RNA-Binding Proteins/metabolism

Key words

C-SVM; Deep neural network; Ensemble learning; Feature selection; XGBoost; lncRNA-protein interaction

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Database: MEDLINE Main subject: RNA, Long Noncoding Type of study: Prognostic_studies / Risk_factors_studies Language: En Year: 2021 Type: Article

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Database: MEDLINE Main subject: RNA, Long Noncoding Type of study: Prognostic_studies / Risk_factors_studies Language: En Year: 2021 Type: Article