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西北工业大学 国内
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BGFE: A deep learning model for ncRNA-protein interaction predictions based on improved sequence information
Zhao Hui Zhan, Li Na Jia, Yong Zhou, Li Ping Li,
Hai Cheng Yi
China University of Mining and Technology
Zaozhuang University
Xinjiang Technical Institute of Physics and Chemistry
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Computer Science
Amino Acid Sequence
100%
Autoencoder
50%
Deep Learning Method
50%
Deep Learning Model
100%
Experimental Result
50%
Feature Extraction
50%
Feature Information
50%
Fold Cross Validation
50%
Information Sequence
100%
Prediction Accuracy
100%
Random Forest Classifier
50%
Scoring Matrix
50%
Biochemistry, Genetics and Molecular Biology
Dosage Compensation
20%
Feature Extraction
20%
Non-Coding RNA
100%
Peptide Sequence
40%
Position Weight Matrix
20%
Protein Interaction
100%
Random Forest
20%
Food Science
Gene Expression
33%
Protein Interaction
100%