期刊
JOURNAL OF PROTEOME RESEARCH
卷 4, 期 4, 页码 1143-1154出版社
AMER CHEMICAL SOC
DOI: 10.1021/pr0500962
关键词
biomarker discovery; proteomics; diagnostic; mass spectrometry; serum/plasma; pattern; machine learning; pattern recognition; feature selection; classification
The role of pattern in biomarker discovery and clinical diagnosis is examined in its historical context. The use of MS-derived pattern is treated as a logical extension of prior applications of non-MS-derived pattern. Criticisms pertaining to specific technology platforms and analytic methodologies are considered separately from the larger issues of pattern utility and deployment in biomarker discovery. We present a hybrid strategy that marries the desirable attributes of high-information content MS pattern with the capability to obtain identity, and explore the key steps in establishing a data analysis pipeline for pattern-based biomarker discovery.
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