DIRECT PREDICTION OF T-CELL EPITOPES USING SUPPORT VECTOR MACHINES WITH NOVEL SEQUENCE ENCODING SCHEMES

LEI HUANG; YANG DAI

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DIRECT PREDICTION OF T-CELL EPITOPES USING SUPPORT VECTOR MACHINES WITH NOVEL SEQUENCE ENCODING SCHEMES

机译：使用具有新序列编码方案的支持向量机直接预测T细胞表位

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New peptide encoding schemes are proposed to use with support vector machines for the direct recognition of T cell epitopes. The methods enable the presentation of information on (1) amino acid positions in peptides, (2) neighboring side chain interactions, and (3) the similarity between amino acids through a BLOSUM matrix. A procedure of feature selection is also introduced to strengthen the prediction. The computational results demonstrate competitive performance over previous techniques.

机译：建议将新的肽编码方案与支持向量机一起使用，以直接识别T细胞表位。该方法能够呈现有关（1）肽中氨基酸位置，（2）相邻侧链相互作用以及（3）通过BLOSUM矩阵氨基酸之间的相似性的信息。还引入了特征选择过程以加强预测。计算结果表明，与以前的技术相比，该产品具有竞争优势。

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《Journal of Bioinformatics and Computational Biology》 |2006年第1期|共15页
作者
LEI HUANG; YANG DAI;
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正文语种 eng
中图分类细胞生物学;
关键词
T cell epitope recognition; support vector machine; feature selection; side-chain interaction;

机译：T细胞表位识别;支持向量机;特征选择;侧链相互作用;

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专利

1. DIRECT PREDICTION OF T-CELL EPITOPES USING SUPPORT VECTOR MACHINES WITH NOVEL SEQUENCE ENCODING SCHEMES [J] . LEI HUANG, YANG DAI Journal of Bioinformatics and Computational Biology . 2006,第1期

机译：使用具有新序列编码方案的支持向量机直接预测T细胞表位
2. Application of support vector machines for T-cell epitopes prediction [J] . Yingdong Zhao, Clemencia Pinilla, Danila Valmori, Bioinformatics . 2003,第15期

机译：支持向量机在T细胞表位预测中的应用
3. Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences. [J] . Chen YC, Lin YS, Lin CJ, Proteins: Structure, Function, and Genetics . 2004,第4期

机译：使用基于多个特征向量和半胱氨酸状态序列的支持向量机预测半胱氨酸的键合状态。
4. Prediction of T-cell Epitopes Using Support Vector Machine and Similarity Kernel [C] . Feng Shi, Jing Huang International Conference on Computational Intelligence and Security(CIS 2005) pt.1; 20051215-19; Xi'an(CN) . 2005

机译：基于支持向量机和相似核的T细胞表位预测
5. Sensitivity Analysis of Support Vector Machine Predictions of Passive Microwave Brightness Temperatures over Snow-Covered Terrain in High Mountain Asia [D] . Ahmad, Jawairia Ashfaq. 2018

机译：高山亚洲积雪地形对被动微波亮度温度的支持向量机预测的敏感性分析
6. Support Vector Machine-Based Mucin-Type O-linked Glycosylation Site Prediction Using Enhanced Sequence Feature Encoding [O] . Manabu Torii, Hongfang Liu, Zhang-Zhi Hu 2009

机译：支持向量机的增强型序列特征编码的Mucin型O联糖基化位点预测
7. Application of support vector machines for T-cell epitopes prediction [O] . Zhao, Yingdong, Pinilla, Clemencia, Valmori, Danila, 2017

机译：支持向量机在T细胞表位预测中的应用

DIRECT PREDICTION OF T-CELL EPITOPES USING SUPPORT VECTOR MACHINES WITH NOVEL SEQUENCE ENCODING SCHEMES

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