LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification

LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification

Background: Long noncoding RNAs (lncRNAs) have dense linkages with various biological processes. Identifying interacting lncRNA-protein pairs contributes to understand the functions and mechanisms of lncRNAs. Wet experiments are costly and time-consuming. Most computational methods failed to observe...

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Bibliographic Details
Main Authors: Gao, P. (Author), Peng, L. (Author), Shen, L. (Author), Yuan, R. (Author), Zhou, L. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Article
Class imbalance
comparative study
cross validation
data classification
decision tree
Ensemble
experimental study
gene
human
lncRNA-protein interaction
long untranslated RNA
mathematical model
NRON gene
protein analysis
protein Q15717
protein Q9Y6M1
protein RNA binding
Q9Y6M1 gene
RNA binding protein
unclassified drug
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