Pre-processing mass spectrometry data
- Kevin R. Coombes(corresponding author),
- Keith A. Baggerly,
- Jeffrey S. Morris
- 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 USISBN (Print)
0387475087, 9780387475080ISBN (Electronic)
9780387475097Publication IDs
- Scopus: 84919841598
Host publication title
Fundamentals of Data Mining in Genomics and ProteomicsPublication metrics
Metrics
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
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136
Citation count
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