title: MALDI-MS data analysis for disease biomarker discovery.
abstract: In this chapter, we address the issue of matrix-assisted laser desorption/ionization mass spectrometry (MS) data analysis for disease biomarker discovery. We first give a general framework of MS data analysis, then focus on several key steps. After that, we show some application examples using an ovarian sera cancer dataset. Finally, we discuss the limitations of current approaches and possible future research directions.
authors.affiliation: Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
authors.forename: Weichuan
authors.initials: W
authors.lastname: Yu
authors.forename: Baolin
authors.initials: B
authors.lastname: Wu
authors.forename: Junfeng
authors.initials: J
authors.lastname: Liu
authors.forename: Xiaoye
authors.initials: X
authors.lastname: Li
authors.forename: Kathy
authors.initials: K
authors.lastname: Stone
authors.forename: Kenneth R
authors.initials: KR
authors.lastname: Williams
authors.forename: Hongyu
authors.initials: H
authors.lastname: Zhao
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000737:chemistry*; D019295:Computational Biology / Q000379:methods; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods; D015233:Models, Statistical; D010449:Peptide Mapping; D040901:Proteomics / Q000379:methods; D020539:Sequence Analysis, Protein; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
chemical_list: D015415:Biomarkers