Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach

Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach

Long noncoding RNAs (lncRNAs) play significant roles in various physiological and pathological processes via their interactions with biomolecules like DNA, RNA and protein. The existing in silico methods used for predicting the functions of lncRNA mainly rely on calculating the similarity of lncRNA...

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Bibliographic Details
Main Authors: Zhang, Yu, Jia, Cangzhi, Kwoh, Chee Keong
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Long Noncoding RNA Functions
Machine Learning
Online Access:https://hdl.handle.net/10356/160384
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Institution: Nanyang Technological University
Language: English

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https://hdl.handle.net/10356/160384

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