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Volumn 1, Issue , 2010, Pages 238-241

A clustering system for gene expression data based upon genetic programming and the HS-model

Author keywords

Cluster analysis; Fitness function; Genetic programming; Missing value

Indexed keywords

APPROPRIATE FITNESS FUNCTION; CLUSTERING METHODS; CLUSTERING SYSTEM; DATA SETS; DIMENSIONALITY REDUCTION; FITNESS FUNCTIONS; GENE EXPRESSION DATA; GENE FUNCTION; GENE REGULATIONS; MANUAL OPERATIONS; MISSING VALUES; PRIOR KNOWLEDGE; STATISTICAL MODELS;

EID: 77956449317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSO.2010.116     Document Type: Conference Paper
Times cited : (1)

References (9)
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  • 8
    • 0033027794 scopus 로고    scopus 로고
    • Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
    • Tamayo P, Slonim D, Mesirov J et al., "Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation," Proc. of National Acidemy Science, vol 96, 1999, pp. 2907-2912
    • (1999) Proc. of National Acidemy Science , vol.96 , pp. 2907-2912
    • Tamayo, P.1    Slonim, D.2    Mesirov, J.3
  • 9
    • 0034960264 scopus 로고    scopus 로고
    • Missing value estimation methods for DNA microarrays
    • Troyanskaya O, Cantor M, Sherlock G et al., "Missing value estimation methods for DNA microarrays," Bioinformatics, vol 17, 2001, pp. 520-525
    • (2001) Bioinformatics , vol.17 , pp. 520-525
    • Troyanskaya, O.1    Cantor, M.2    Sherlock, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.