메뉴 건너뛰기




Volumn 7, Issue , 2006, Pages

Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL EXPERIMENTS; CLASSIFICATION PERFORMANCE; FEATURE SELECTION AND CLASSIFICATION; HUMAN BREAST CANCER; RECURSIVE FEATURE ELIMINATION; ROBUSTNESS TO NOISE; SAMPLE CLASSIFICATION; STATE-OF-THE-ART METHODS;

EID: 33646377650     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-197     Document Type: Article
Times cited : (260)

References (34)
  • 2
    • 0036130648 scopus 로고    scopus 로고
    • ProteinChip clinical proteomics: Computational challenges and solutions
    • Fung ET, Enderwick C: ProteinChip clinical proteomics: computational challenges and solutions. Biotechniques 2002:34-38. 40-41
    • (2002) Biotechniques , vol.34-38 , pp. 40-41
    • Fung, E.T.1    Enderwick, C.2
  • 5
    • 3242665953 scopus 로고    scopus 로고
    • Cancer proteomics - Serum diagnostics for tumor marker discovery
    • Rai AJ, Chan DW: Cancer proteomics - Serum diagnostics for tumor marker discovery. Annals of the New York Academy of Sciences 2004, 1022:286-294.
    • (2004) Annals of the New York Academy of Sciences , vol.1022 , pp. 286-294
    • Rai, A.J.1    Chan, D.W.2
  • 6
    • 1542378202 scopus 로고    scopus 로고
    • Analysis of serum proteomic patterns for early cancer diagnosis: Drawing attention to potential problems
    • Diamandis EP: Analysis of serum proteomic patterns for early cancer diagnosis: drawing attention to potential problems. Journal of the National Cancer Institute 2004, 96(5):353-356.
    • (2004) Journal of the National Cancer Institute , vol.96 , Issue.5 , pp. 353-356
    • Diamandis, E.P.1
  • 7
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, Vapnik V: Gene selection for cancer classification using support vector machines. Machine Learning 2002, 46(1):389-422.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 8
    • 0037776352 scopus 로고    scopus 로고
    • Recursive sample classification and gene selection based on SVM: Method and software description
    • Technical Report, Department of Biostatistics, Harvard School of Public Health
    • Zhang X, Wong WH: Recursive sample classification and gene selection based on SVM: method and software description. Technical Report, Department of Biostatistics, Harvard School of Public Health 2001 [http://www.hsph.harvard.edu/bioinfocore/r-svm.pdf].
    • (2001)
    • Zhang, X.1    Wong, W.H.2
  • 10
    • 33749532376 scopus 로고    scopus 로고
    • Preprocessing of oligonucleotide array data
    • Wu Z, Irizarry RA: Preprocessing of oligonucleotide array data. Nat Biotechnol 2004, 22:656.
    • (2004) Nat Biotechnol , vol.22 , pp. 656
    • Wu, Z.1    Irizarry, R.A.2
  • 12
    • 0035845511 scopus 로고    scopus 로고
    • Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
    • Sorlie T, Perou CM, Tibshirani R, et al.: Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA 2001, 98:10869-10874.
    • (2001) Proc Natl Acad Sci USA , vol.98 , pp. 10869-10874
    • Sorlie, T.1    Perou, C.M.2    Tibshirani, R.3
  • 13
    • 0034680102 scopus 로고    scopus 로고
    • Molecular portraits of human breast tumors
    • Perou CM, Sorlie T, Eisen MB, et al.: Molecular portraits of human breast tumors. Nature 2000, 406:747-752.
    • (2000) Nature , vol.406 , pp. 747-752
    • Perou, C.M.1    Sorlie, T.2    Eisen, M.B.3
  • 16
    • 0034088242 scopus 로고    scopus 로고
    • Murine histidine-rich glycoprotein: Cloning, characterization and cellular origin
    • Hulett MD, Parish CR: Murine histidine-rich glycoprotein: Cloning, characterization and cellular origin. Immunology and Cell Biology 2000, 78(3):280-287.
    • (2000) Immunology and Cell Biology , vol.78 , Issue.3 , pp. 280-287
    • Hulett, M.D.1    Parish, C.R.2
  • 17
  • 18
    • 0003798641 scopus 로고    scopus 로고
    • Support vector machine classification of microarray data
    • MIT AlMemo [ftp://publications.ai.mit.edu]. CBCL-182
    • Mukherjee S, Tamayo P, Slonim D, Verri A, Golub T, Mesirov JP, Poggio T: Support vector machine classification of microarray data. MIT AlMemo 1998 [ftp://publications.ai.mit.edu]. No. 1677, CBCL-182
    • (1998) , Issue.1677
    • Mukherjee, S.1    Tamayo, P.2    Slonim, D.3    Verri, A.4    Golub, T.5    Mesirov, J.P.6    Poggio, T.7
  • 20
    • 0035810997 scopus 로고    scopus 로고
    • Recursive partitioning for tumor classification with gene expression microarray data
    • Zhang H, Yu C, Singer B, Xiong M: Recursive partitioning for tumor classification with gene expression microarray data. PNAS 2001, 98:6730-6735.
    • (2001) PNAS , vol.98 , pp. 6730-6735
    • Zhang, H.1    Yu, C.2    Singer, B.3    Xiong, M.4
  • 22
    • 0037076322 scopus 로고    scopus 로고
    • Selection bias in gene extraction on the basis of microarray gene-expression data
    • Ambroise C, McLachlan GJ: Selection bias in gene extraction on the basis of microarray gene-expression data. PNAS 2002, 99:6562-6566.
    • (2002) PNAS , vol.99 , pp. 6562-6566
    • Ambroise, C.1    McLachlan, G.J.2
  • 24
    • 2942602999 scopus 로고    scopus 로고
    • Entropy-based gene ranking without selection bias for the predictive classification of microarray data
    • Furlanello C, Serafini M, Merler S, Jurman G: Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinformatics 2003, 4:54-73.
    • (2003) BMC Bioinformatics , vol.4 , pp. 54-73
    • Furlanello, C.1    Serafini, M.2    Merler, S.3    Jurman, G.4
  • 25
    • 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, Bedarski DW, Schummer M, Haussler D: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 2000, 16(10):906-914.
    • (2000) Bioinformatics , vol.16 , Issue.10 , pp. 906-914
    • Furey, T.S.1    Cristianini, N.2    Duffy, N.3    Bedarski, D.W.4    Schummer, M.5    Haussler, D.6
  • 26
  • 29
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • Vapnik VN: An overview of statistical learning theory. IEEE Trans Neural Networks 1999, 10:988-999.
    • (1999) IEEE Trans Neural Networks , vol.10 , pp. 988-999
    • Vapnik, V.N.1
  • 30
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support vector machines for large-scale regression problems
    • Collobert R, Bengio S: SVMTorch: support vector machines for large-scale regression problems. Journal of Machine Learning Research 2001, 1:143-160.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 143-160
    • Collobert, R.1    Bengio, S.2
  • 31
    • 0033321352 scopus 로고    scopus 로고
    • Using class-center vectors to build support vector machines
    • Zhang X: Using class-center vectors to build support vector machines. Neural Networks for Signal Processing IX 1999:3-11.
    • (1999) Neural Networks for Signal Processing IX , pp. 3-11
    • Zhang, X.1
  • 34
    • 0035664710 scopus 로고    scopus 로고
    • Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method
    • Li L, Darden T, Weinberg C, Levine A, Pederson L: Gene assessment and sample classification for gene expression data using a genetic algorithm/ k-nearest neighbor method. Combinational Chemistry and High Throughput Screening 2001, 4(8):727-739.
    • (2001) Combinational Chemistry and High Throughput Screening , vol.4 , Issue.8 , pp. 727-739
    • Li, L.1    Darden, T.2    Weinberg, C.3    Levine, A.4    Pederson, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.