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EVOW
2006
Springer
13 years 8 months ago
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
Elena Marchiori, Connie R. Jimenez, Mikkel West-Ni...
WILF
2007
Springer
171views Fuzzy Logic» more  WILF 2007»
13 years 10 months ago
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps
Abstract. Analysis and visualization of high-dimensional clinical proteomic spectra obtained from mass spectrometric measurements is a complicated issue. We present a wavelet based...
Frank-Michael Schleif, Thomas Villmann, Barbara Ha...
DILS
2007
Springer
13 years 6 months ago
A High-Throughput Bioinformatics Platform for Mass Spectrometry-Based Proteomics
The success of mass spectrometry-based proteomics in emerging applications such as biomarker discovery and clinical diagnostics, is predicated substantially on its ability to achie...
Thodoros Topaloglou, Moyez Dharsee, Rob M. Ewing, ...
BMCBI
2010
146views more  BMCBI 2010»
13 years 4 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
CSDA
2008
126views more  CSDA 2008»
13 years 4 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...