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Volumn 4062 LNAI, Issue , 2006, Pages 778-785

Gene selection using rough set theory

Author keywords

Bioinformatics; Classification learning; Gene selection; Rough sets

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; DATA REDUCTION; DATABASE SYSTEMS; GENETIC ENGINEERING; INFORMATION SCIENCE; REGRESSION ANALYSIS;

EID: 33746734869     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11795131_113     Document Type: Conference Paper
Times cited : (15)

References (15)
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  • 2
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    • Selection of relevant features and examples in machine learning
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  • 5
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence. 97 (1997) 273-324
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 7
    • 84960463485 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • Ding, C., Peng, H.: Minimum redundancy feature selection from microarray gene expression data.IEEE Computer Society Bioinformatics Conference, (2003) 523-529
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    • Ding, C.1    Peng, H.2
  • 8
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    • Multi-class cancer classification via partial least squares with gene expression profiles
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  • 10
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    • Generalized rough sets based feature selection
    • Mohamed Quafafou, Moussa Boussouf.: Generalized rough sets based feature selection. Intelligent Data Analysis. 4 (2000) 3-17
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    • Quafafou, M.1    Boussouf, M.2
  • 14
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    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • Alon, U., Barkai, N., Notterman, D. A., Gish, K., Ybarra, S., Mack, D., Levine, A. J.: Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Natl. Acad. Sci.. 96 (1998) 6745-6750
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  • 15
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    • A resampling-based method for class discovery and visualization of gene expression microarray data
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    • Stefano, M.1    Pablo, T.2    Jill, M.3    Todd, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.