Combining random forest with multi-amino acid features to identify protein palmitoylation sites
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- 作者：Liang Fua ; Hua-Lin Xiea ; hualinxie@163.com" class="auth_mail ; Xiang-Rong Xub ; Hua-Juan Yangb ; Xi-Du Niec
- 关键词：(RF) ; Random forests ; MCC ; Matthews correlation coefficient ; AUC ; Area under the curve ; ROC ; Receiver operating characteristic
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：15 July 2014
- 年：2014
- 卷：135
- 期：Complete
- 页码：208-212
- 全文大小：334 K
文摘
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Obtained satisfaction results by using seven amino acid properties
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Accurate prediction of palmitoylation sites by using random forests
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