Boosting classifier for predicting protein domain structural class
โ Scribed by Kai-Yan Feng; Yu-Dong Cai; Kuo-Chen Chou
- Book ID
- 116290844
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 551 KB
- Volume
- 334
- Category
- Article
- ISSN
- 0006-291X
No coin nor oath required. For personal study only.
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## Abstract Supervised classifiers, such as artificial neural network, partition trees, and support vector machines, are often used for the prediction and analysis of biological data. However, choosing an appropriate classifier is not straightforward because each classifier has its own strengths an
The support vector machines (SVMs) method was introduced for predicting the structural class of protein domains. The results obtained through the self-consistency test, jack-knife test, and independent dataset test have indicated that the current method and the elegant component-coupled algorithm de