A clustering based hybrid system for biomarker selection and sample classification of mass spectrometrydata

journal contribution

posted on 2010-08-01, 00:00 authored by P Yang, Zili ZhangZili Zhang, B Zhou, A Zomaya

A clustering based hybrid system for biomarker selection and sample classification of mass spectrometrydata

History

Journal

Neurocomputing

Volume

73

Pagination

2317 - 2331

Location

Amsterdam

ISSN

0925-2312

eISSN

1872-8286

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2010, Elsevier B.V. All rights reserved.

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Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Clustering Mass spectrometry Hybrid algorithm Feature selection Classification GENE-EXPRESSION DATA PROTEOMIC PATTERNS ENSEMBLE METHODS GA\/KNN METHOD CANCER SERUM MICROARRAY DISCOVERY SPECTRA

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