MALDI-MS data analysis for disease biomarker discovery.

Weichuan Yu; Baolin Wu; Junfeng Liu; Xiaoye Li; Kathy Stone; Kenneth R. Williams; Hongyu Zhao

doi:10.1385/1-59745-026-x:199

MALDI-MS data analysis for disease biomarker discovery.

Weichuan Yu
, Baolin Wu
, Junfeng Liu
, Xiaoye Li
, Kathy Stone
, Kenneth R. Williams
, Hongyu Zhao

Biostatistics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English (US)
Pages (from-to)	199-216
Number of pages	18
Journal	Methods in molecular biology (Clifton, N.J.)
Volume	328
DOIs	https://doi.org/10.1385/1-59745-026-x:199
State	Published - 2006

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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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.",

author = "Weichuan Yu and Baolin Wu and Junfeng Liu and Xiaoye Li and Kathy Stone and Williams, \{Kenneth R.\} and Hongyu Zhao",

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T1 - MALDI-MS data analysis for disease biomarker discovery.

AU - Yu, Weichuan

AU - Wu, Baolin

AU - Liu, Junfeng

AU - Li, Xiaoye

AU - Stone, Kathy

AU - Williams, Kenneth R.

AU - Zhao, Hongyu

N1 - Copyright: This record is sourced from MEDLINE/PubMed, a database of the U.S. National Library of Medicine

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/33746569477#tab=citedBy

U2 - 10.1385/1-59745-026-x:199

DO - 10.1385/1-59745-026-x:199

M3 - Article

C2 - 16785651

AN - SCOPUS:33746569477

SN - 1064-3745

VL - 328

SP - 199

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JO - Methods in molecular biology (Clifton, N.J.)

JF - Methods in molecular biology (Clifton, N.J.)

ER -

MALDI-MS data analysis for disease biomarker discovery.

Abstract

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