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

被引：0
|
作者：
Liu Dan [1 ]
Huang Yuan-yuan [1 ]
Ma Chen-xiang [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Life Sci & Technol, Xian 710049, Peoples R China
来源：
2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010) | 2010年
关键词：
mass spectrometry; proteomic; stationary wavelet transform; naive Bayes classifier; PATTERNS;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
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.
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页数：4
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