A random forest based computational model for predicting novel lncRNA-disease associations

A random forest based computational model for predicting novel lncRNA-disease associations

Background: Accumulated evidence shows that the abnormal regulation of long non-coding RNA (lncRNA) is associated with various human diseases. Accurately identifying disease-associated lncRNAs is helpful to study the mechanism of lncRNAs in diseases and explore new therapies of diseases. Many lncRNA...

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Bibliographic Details
Main Authors: Yao, Dengju, Zhan, Xiaojuan, Zhan, Xiaorong, Kwoh, Chee Keong, Li, Peng, Wang, Jinke
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Random Forest
Variable Importance
Online Access:https://hdl.handle.net/10356/146950
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/146950

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