IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier

IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier

Abstract Background Identifying lncRNA-disease associations not only helps to better comprehend the underlying mechanisms of various human diseases at the lncRNA level but also speeds up the identification of potential biomarkers for disease diagnoses, treatments, prognoses, and drug response predic...

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Bibliographic Details
Main Authors: Rong Zhu, Yong Wang, Jin-Xing Liu, Ling-Yun Dai
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Bioinformatics
Subjects:
LncRNA-disease
Association prediction
Incremental principal component analysis
Random forests
Online Access:https://doi.org/10.1186/s12859-021-04104-9

Internet

https://doi.org/10.1186/s12859-021-04104-9

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