A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier

Background Since the number of known lncRNA-disease associations verified by biological experiments is quite limited, it has been a challenging task to uncover human disease-related lncRNAs in recent years. Moreover, considering the fact that biological experiments are very expensive and time-consum...

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Veröffentlicht in:	BMC bioinformatics Jg. 20; H. 1; S. 396 - 13
Hauptverfasser:	Yu, Jingwen, Xuan, Zhanwei, Feng, Xiang, Zou, Quan, Wang, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 17.07.2019 BMC
Schlagworte:	Algorithms Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Item-based collaborative filtering Life Sciences lncRNA-disease associations Machine Learning and Artificial Intelligence in Bioinformatics Microarrays naïve Bayesian classifier Original tripartite network Research Article Updated tripartite network lncRNA-disease associations Item-based collaborative filtering Updated tripartite network naïve Bayesian classifier Original tripartite network
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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