Bioinformatic Analysis of Data Generated from MALDI Mass Spectrometry for Biomarker Discovery

被引：5
作者：
He, Zengyou [1 ]
Qi, Robert Z. [2 ,3 ]
Yu, Weichuan [4 ]
机构：
[1] Dalian Univ Technol, Sch Software, Dalian, Peoples R China
[2] Hong Kong Univ Sci & Technol, Div Life Sci, Hong Kong, Hong Kong, Peoples R China
[3] Hong Kong Univ Sci & Technol, State Key Lab Mol Neurosci, Hong Kong, Hong Kong, Peoples R China
[4] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Hong Kong, Peoples R China
来源：
APPLICATIONS OF MALDI-TOF SPECTROSCOPY | 2013年 / 331卷
关键词：
Biomarker Discovery; Data Mining; Feature Selection; MALDI MS Data; Peak Detection; MULTIPLE PEAK ALIGNMENT; COMPONENT ANALYSIS; FEATURE-SELECTION; IDENTIFICATION; PROFILES; SPECTRA; CLASSIFICATION; EXTRACTION; ALGORITHM; DIAGNOSIS;
D O I：
10.1007/128_2012_365
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
In this chapter we first describe the applications of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) in biomarker discovery. After a summary of the general analysis pipeline of MALDI MS data, each step of the pipeline will be elaborated in detail. In particular we try to provide a categorization of existing solutions with the hope that the reader can obtain a global picture on this topic. In addition we show how to apply such an analysis pipeline in protein and glycan profiling for biomarker discovery and for a deeper understanding of diseases. Finally we discuss the limitations of current analysis methods and the perspectives of future research.
引用
收藏
页码：193 / 209
页数：17
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