Bagged super wavelets reduction for boosted prostate cancer classification of seldi-tof mass spectral serum profiles

Chemometrics and Intelligent Laboratory Systems

Volumn 82, Issue 1-2 SPEC. ISS, 2006, Pages 2-7

  Donald, David ^a   Hancock, Tim ^a   Coomans, Danny ^a   Everingham, Yvette ^a  

^a JAMES COOK UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CANCER CLASSIFICATION; CANCER PATIENT; CONTROLLED STUDY; DISCRETE WAVELET TRANSFORM; HUMAN; MAJOR CLINICAL STUDY; MASS SPECTROMETRY; MATHEMATICAL PHENOMENA; PRIORITY JOURNAL; PROSTATE CANCER; SERUM; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY;

EID: 33748692689     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2005.08.007     Document Type: Article

References (11)

1. Petricoin E.F. Serum proteomic patterns for detection of prostate cancer. Journal of the National Cancer Institute 94 20 (2002) 1576-1578
2. Friedman J. Stochastic gradient boosting. Technical Report (1999), Dept of Statistics, Stanford University
3. Breiman L. Bagging predictors. Technical Report vol. 421 (1994), Dept of Statistics, University of California
4. Breiman L., Friedman J., Olshen R., and Stone C. Classification and Regression Trees (1984), Chapman & Hall, New York
5. Freund Y., and Schapire R. A decision-theoretic generalization of on-line learning and an application to boosting. Computational Learning Theory (1995)
6. In: Walczak B. (Ed). Wavelets in Chemistry (2000), Elsevier, Amsterdam
7. Han D.G., and R.L.D. Frames, bases and group representations. Memoirs of the American Mathematical Society 147 (2000)
8. Baggerly K.A., Morris J.S., and Coombes K.R. Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments. Bioinformatics 20 5 (2004) 777-785
9. Qu Y.S., Adam B.L., Yasui T., Ward M.D., Cazares L.H., Schellhammer P.F., Feng Z.D., Semmes O.J., and Wright G.L. Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from non-cancer patients. Clinical Chemistry 48 10 (2002) 1835-1843
10. Breiman L. Random forests. Technical Report (2001), Dept of Statistics, University of California
11. Vannucci M., Sha N., and Brown P.J. NIR and mass spectra classification: Bayesian methods for wavelet-based feature selection. Chemometrics and Intelligent Laboratory Systems 77 1-2 (2005) 139-148