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Volumn 54, Issue 1, 2011, Pages 159-164

An improved neural approach for malignant and normal colon tissue classification from oligonucleotide arrays

Author keywords

Colon cancer; Data mining; Microarray; Oligonucleotide

Indexed keywords


EID: 79958146057     PISSN: 1450216X     EISSN: 1450202X     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (12)
  • 1
    • 0028806048 scopus 로고
    • Quantitative monitoring of gene expression patterns with a complementary DNA array
    • Schena M, Shalon D, Davis RW, Brown PO. 1995. Quantitative monitoring of gene expression patterns with a complementary DNA array, Science, 270:467-70
    • (1995) Science , vol.270 , pp. 467-470
    • Schena, M.1    Shalon, D.2    Davis, R.W.3    Brown, P.O.4
  • 4
    • 0035884608 scopus 로고    scopus 로고
    • Distinctive molecular profiles of high-grade and low-grade gliomas based on oligonucleotide microarray analysis
    • Rickman DS, Bobek MP, Misek DE, Kuick R, Blaivas M, Kurnit DM, Taylor J, Hanash SM. 2001. Distinctive molecular profiles of high grade and low grade gliomas based on oligonucleotide microarray analysis. Cancer research, 61:6885-91. (Pubitemid 32896514)
    • (2001) Cancer Research , vol.61 , Issue.18 , pp. 6885-6891
    • Rickman, D.S.1    Bobek, M.P.2    Misek, D.E.3    Kuick, R.4    Blaivas, M.5    Kurnit, D.M.6    Taylor, J.7    Hanash, S.M.8
  • 9
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cancer tissue samples using microarray expression data
    • Furey TS, Cristianini N, Duffy N, Bednarski DW, Schummer M, Haussler D. 2000. Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics.906-14
    • (2000) Bioinformatics , pp. 906-914
    • Furey, T.S.1    Cristianini, N.2    Duffy, N.3    Bednarski, D.W.4    Schummer, M.5    Haussler, D.6
  • 10
    • 0036139278 scopus 로고    scopus 로고
    • Gene selection for sample classification based on gene expression data: Study of sensitivity to choice of parameters of the GA/KNN method
    • Li L, Weinberg CR, Darden TA, Pedersen LG. 2001. Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method. Bioinformatics. 1131-42 (Pubitemid 33735339)
    • (2001) Bioinformatics , vol.17 , Issue.12 , pp. 1131-1142
    • Li, L.1    Weinberg, C.R.2    Darden, T.A.3    Pedersen, L.G.4
  • 11
    • 84887905483 scopus 로고    scopus 로고
    • Gene expression data classification using discrete wavelet transform
    • Ho-Sun Shon, Gyoyong Sohn, Kwang Su Jung, Sang Yeob Kim, Eun Jong Cha, Keun Ho Ryu. 2009.Gene Expression Data Classification using Discrete Wavelet Transform. Biocomp. 204208
    • (2009) Biocomp , pp. 204-208
    • Shon, H.-S.1    Sohn, G.2    Su Jung, K.3    Yeob, K.4    Jong Cha, E.5    Ho Ryu, K.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.