Prediction of the Bonding States of Cysteines Using the Support Vector Machines Based on Multiple Feature Vectors and Cysteine State Sequences
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概要
- 論文の詳細を見る
- 2005-03-01
著者
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Hwang Jenn-kang
Institute Of Bioinformatics National Chiao Tung University
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LIN Chih-Jen
Department of Computer Science, National Taiwan University
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LIN Yeong-Shin
Department of Biological Science & Technology, National Chiao Tung University
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CHEN Yu-Ching
Institute of Bioinformatics, National Chiao Tung University
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Lin Chih-jen
Department Of Computer Science National Taiwan University
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Chen Yu-ching
Institute Of Bioinformatics National Chiao Tung University
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Lin Yeong-shin
Department Of Biological Science And Technology National Chiao Tung University
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Lin Chih‐jen
Department Of Computer Science National Taiwan University
関連論文
- Prediction of Subcellular Localizations by Support Vector Machines Based on n-Peptide Compositions
- Identification of Non-continuous Local Structural Motifs of Proteins Using the Fragment Transformation Method
- Prediction of the Bonding States of Cysteines Using the Support Vector Machines Based on Multiple Feature Vectors and Cysteine State Sequences
- Computation of Structural Entropy of Protein Sequences by the Support Vector Machine : Correlation between the Conserved Structures and the Slow Hydrogen Exchange Regions