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Volumn 15, Issue 4, 2006, Pages 1057-1059

Tumor classification based on DNA copy number aberrations determined using SNP arrays

Author keywords

DNA copy number; Microarray; Relief F algorithm; Single nucleotide polymorphism; Tumor classification

Indexed keywords

DNA;

EID: 33645789075     PISSN: 1021335X     EISSN: 17912431     Source Type: Journal    
DOI: 10.3892/or.15.4.1057     Document Type: Article
Times cited : (24)

References (14)
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  • 9
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    • Estimating attributes: Analysis and extensions of RELIEF
    • Springer-Verlag Inc., New York
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    • Kononenko, I.1
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    • Theoretical and empirical analysis of ReliefF and RReliefF
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    • Robnik-Sikonja, M.1    Kononenko, I.2
  • 13
    • 2542548405 scopus 로고    scopus 로고
    • dChipSNP: Significance curve and clustering of SNP-array-based loss-of-heterozygosity data
    • DOI 10.1093/bioinformatics/bth069
    • Lin M, Wei LJ, Sellers WR, Lieberfarb M, Wong WH and Li C: dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data. Bioinformatics 20: 1233-1240, 2004. (Pubitemid 38807579)
    • (2004) Bioinformatics , vol.20 , Issue.8 , pp. 1233-1240
    • Lin, M.1    Wie, L.-J.2    Sellers, W.R.3    Lieberfarb, M.4    Wong, W.H.5    Li, C.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.