Prediction of sumoylation sites in proteins using linear discriminant analysis
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- 作者：Yan Xua ; Ya-Xin Dinga ; Nai-Yang Dengb ; Li-Ming Liuc ; llm5609@163.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：PTM ; post-translational modification ; LDA ; linear discriminant analysis ; PSSM ; position specific scoring matrix ; PSPM ; position-specific propensity matrices ; CKSAAP ; the composition of k-space amino acid pair ; F-score ; feature score
- 刊名：Gene
- 出版年：2016
- 出版时间：15 January 2016
- 年：2016
- 卷：576
- 期：1
- 页码：99-104
- 全文大小：397 K
文摘
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AAIndex, position-specific amino acid propensity and modification of composition of k-space amino acid pairs were used to feature construction.
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178 features were selected as the optimal features according to the MCC values in 10-fold cross validation.
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Linear Discriminant Analysis was the first applied in the Sumoylation prediction.
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The accuracy was 86.92% in the benchmark dataset.