Novel Approaches to Visualization and Data Mining Reveals Diagnostic Information in the Low Amplitude Region of Serum Mass Spectra from Ovarian Cancer Patients

Novel Approaches to Visualization and Data Mining Reveals Diagnostic Information in the Low Amplitude Region of Serum Mass Spectra from Ovarian Cancer Patients

The ability to identify patterns of diagnostic signatures in proteomic data generated by high throughput mass spectrometry (MS) based serum analysis has recently generated much excitement and interest from the scientific community. These data sets can be very large, with high-resolution MS instrumen...

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Bibliographic Details
Main Authors: Donald J. Johann, Michael D. McGuigan, Stanimire Tomov, Vincent A. Fusaro, Sally Ross, Thomas P. Conrads, Timothy D. Veenstra, David A. Fishman, Gordon R. Whiteley, Emanuel F. Petricoin, Lance A. Liotta
Format: Article
Language:English
Published: Hindawi Limited 2004-01-01
Series:Disease Markers
Online Access:http://dx.doi.org/10.1155/2004/549372

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http://dx.doi.org/10.1155/2004/549372

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