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Pre-processing mass spectrometry data

*Corresponding author for this work
  • University of Texas Health Science Center at Houston
Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Abstract

Mass spectrometry is being applied to discover disease-related proteomic patterns in complex mixtures of proteins derived from tissue samples or from easily obtained biological fluids such as serum, urine, or nipple aspirate fluid (Paweletz et al., 2001); Wellmann et al., 2002; (Petricoin et al., 2002); (Adam et al., 2002), (2003); (Zhukov et al., 2003); (Schaub et al., 2004). Potentially, we can use these proteomic patterns for early diagnosis, to predict prognosis, to monitor disease progression or response to treatment, or even to identify which patients are most likely to benefit from particular treatments.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Original language

English (US)

Pages from-to (Number of pages)

Pages 79-102 (24 pages)

Publication milestones

  • Published - 2007

Publication status

Published - 2007

Publisher

Springer US
0387475087, 9780387475080

ISBN (Electronic)

9780387475097

Publication IDs

  • Scopus: 84919841598

Host publication title

Fundamentals of Data Mining in Genomics and Proteomics

Publication metrics

Metrics

Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
Scopus
citations

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