Predicting lncRNA–protein interactions through deep learning framework employing multiple features and random forest algorithm

Predicting lncRNA–protein interactions through deep learning framework employing multiple features and random forest algorithm

Abstract RNA-protein interaction (RPI) is crucial to the life processes of diverse organisms. Various researchers have identified RPI through long-term and high-cost biological experiments. Although numerous machine learning and deep learning-based methods for predicting RPI currently exist, their r...

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Bibliographic Details
Main Authors: Ying Liang, XingRui Yin, YangSen Zhang, You Guo, YingLong Wang
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Bioinformatics
Subjects:
LncRNA–protein interactions
Multiple features
Random forest algorithm
Features fusion
Online Access:https://doi.org/10.1186/s12859-024-05727-4

Internet

https://doi.org/10.1186/s12859-024-05727-4

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