Feature extraction and classification of proteomics data using stationary wavelet transform and naive Bayes classifier

摘要：

The purpose of the current study was to investigate the changes of serum proteome and to discover potential biomarkers from a publicly available proteomic ovarian dataset. A workflow that combines stationary wavelet transform with naive Bayes classifier was presented to select candidate biomarkers form 253 proteomic serum profiles of cancer and control. The method identified correlative mass points and obtained a discriminative pattern with 96.7% sensitivity and 92.7% specificity.

作者: Liu Dan Huang Yuan-yuan Ma Chen-xiang

作者单位: School of Life Science and Technology, Xian Jiaotong University Xian 710049, P.R.China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）