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Volumn , Issue , 2007, Pages 1003-1010

A comprehensive fuzzy-based framework for cancer microarray data gene expression analysis

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; BIOINFORMATICS; LEARNING SYSTEMS;

EID: 47649092233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375680     Document Type: Conference Paper
Times cited : (20)

References (15)
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    • L. Li, C. R. Weinberg, T. A. Darden, and L. G. Pedersen, "Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the ga/knn method," Bioinformatics, vol. 17, pp. 1131-1142, 2001.
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    • Li, L.1    Weinberg, C.R.2    Darden, T.A.3    Pedersen, L.G.4
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    • Increasing the efficiency of fuzzy logic-based gene expression data analysis
    • H. Ressom, R. Reynolds, and R. S. Varghese, "Increasing the efficiency of fuzzy logic-based gene expression data analysis," Physiol. Genomics, vol. 13, pp. 107-117, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.