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Machine learning for multi-class protein fold classification based on neural networks with feature gating
Chuen Der Huang
*
,
I. Fang Chung
, Nikhil Ranjan Pal, Chin Teng Lin
*
此作品的通信作者
生物醫學資訊研究所
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同行評審
5
引文 斯高帕斯（Scopus）
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Keyphrases
Neural Network
100%
Machine Learning
100%
Multi-class
100%
Gated Network
100%
Classification Basis
100%
Unfolding Method
100%
Protein Fold Classification
100%
Classification System
50%
Feature Extraction
50%
Number of Features
50%
Computation Time
50%
Test Accuracy
50%
Hierarchical Architecture
50%
Input Nodes
50%
Good Characteristics
50%
Selected Features
50%
Feature Select
50%
Neural Network Classifier
50%
Bioinformatics Methods
50%
Tool-Being
50%
Hierarchical Machine Learning
50%
Machine Learning Architectures
50%
Computer Science
Neural Network
100%
Gating Network
100%
Folding Process
100%
Machine Learning
100%
Learning System
100%
Hierarchical Architecture
50%
Computation Time
50%
Characteristic Feature
50%
Feature Extraction
50%
Bioinformatics
50%
Biochemistry, Genetics and Molecular Biology
Protein Fold Class
100%
Feature Extraction
100%
Bioinformatics
100%
Neuroscience
Neural Network
100%
Protein Tertiary Structure
100%