Wavelet Analysis Combined with Artificial Neural Network for Predicting Protein–Protein Interactions

2013 ◽  
pp. 47-53
Author(s):  
Juanjuan Li ◽  
Yuehui Chen ◽  
Fenglin Wang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wavelet Analysis ◽  
Protein Interactions ◽  
Protein Protein Interactions ◽  
Artificial Neural

Auto Covariance Combined with Artificial Neural Network for Predicting Protein-Protein Interactions

2013 ◽  
Vol 765-767 ◽  
pp. 1622-1624
Author(s):  
Juan Juan Li ◽  
Yue Hui Chen
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Protein Interactions ◽  
Biological Data ◽  
Protein Protein Interactions ◽  
Artificial Neural Network Classifier ◽  
Artificial Neural ◽  
Biological Methods ◽  
Auto Covariance ◽  
Better Than

Proteins play biological function through the interactions in organisms. Proteins are major components of organisms, and they are of great significance. As an increasing number of high-throughput biological experiments are carried out, a large amount of biological data is produced. Bioinformatics is developed to study the relative data which turns out to be difficult to study using biological methods. The paper mainly studies how to apply the intelligent calculation methods to protein-protein interactions (PPIs) prediction. We proposed an approach, by combining auto covariance with artificial neural network classifier, to predict PPIs. Experiments show that our method performs better than related works with a 5% higher accuracy.

A hybrid FDD strategy for local system of AHU based on artificial neural network and wavelet analysis

2010 ◽  
Vol 45 (12) ◽  
pp. 2698-2708 ◽  
Author(s):  
Bo Fan ◽  
Zhimin Du ◽  
Xinqiao Jin ◽  
Xuebin Yang ◽  
Yibo Guo
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wavelet Analysis ◽  
Local System ◽  
Artificial Neural
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