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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
科研成果
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探究 'BGFE: A deep learning model for ncRNA-protein interaction predictions based on improved sequence information' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Prediction Accuracy
100%
Deep Learning Model
100%
Amino Acid Sequence
100%
Information Sequence
100%
Experimental Result
50%
Deep Learning Method
50%
Feature Extraction
50%
Fold Cross Validation
50%
Random Forest Classifier
50%
Feature Information
50%
Autoencoder
50%
Scoring Matrix
50%
Biochemistry, Genetics and Molecular Biology
Protein Interaction
100%
Non-Coding RNA
100%
Peptide Sequence
40%
Feature Extraction
20%
Dosage Compensation
20%
Position Weight Matrix
20%
Random Forest
20%
Food Science
Protein Interaction
100%
Gene Expression
33%