Auto Covariance combined with Artificial Neural Network for predicting Protein-Protein interactions
- Juanjuan Li, Yuehui Chen
- Corresponding Author
- Juanjuan Li
Available Online April 2013.
- https://doi.org/10.2991/icsem.2013.153How to use a DOI?
- predicting PPIs, auto covariance, ANN
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Juanjuan Li AU - Yuehui Chen PY - 2013/04 DA - 2013/04 TI - Auto Covariance combined with Artificial Neural Network for predicting Protein-Protein interactions BT - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) PB - Atlantis Press UR - https://doi.org/10.2991/icsem.2013.153 DO - https://doi.org/10.2991/icsem.2013.153 ID - Li2013/04 ER -