Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data-Reference-Cited by-同舟云学术

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Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data

Published:2006-04-10 Issue:1 Volume:7 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Zhang Xuegong,Lu Xin,Shi Qian,Xu Xiu-qin,Leung Hon-chiu E,Harris Lyndsay N,Iglehart James D,Miron Alexander,Liu Jun S,Wong Wing H

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-7-197.pdf

Reference34 articles.

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2. Fung ET, Enderwick C: ProteinChip clinical proteomics: computational challenges and solutions. Biotechniques 2002, (Suppl):34–38. 40–41

3. Petricoin EF III, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, Steinberg SM, Mills GB, Simone C, Fishman DA, Kohn EC, Loitta LA: Use of proteomic patterns in serum to identify ovarian cancer. The Lancet 2002, 359: 572–577. 10.1016/S0140-6736(02)07746-2

4. Petricoin EF III, Zoon KC, Kohn EC, Barrett JC, Liotta LA: Clinical proteomics: Translating benchside promise into bedside reality. Nature Reviews Drug Discovery 2002, 1(9):683–695. 10.1038/nrd891

5. Rai AJ, Chan DW: Cancer proteomics – Serum diagnostics for tumor marker discovery. Annals of the New York Academy of Sciences 2004, 1022: 286–294. 10.1196/annals.1318.044

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