메뉴 건너뛰기




Volumn 20, Issue 3, 2004, Pages 374-380

Is cross-validation valid for small-sample microarray classification?

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; BREAST CANCER; CLASSIFICATION; CONTROLLED STUDY; DNA MICROARRAY; HUMAN; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; VALIDATION PROCESS;

EID: 1342330535     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg419     Document Type: Article
Times cited : (528)

References (12)
  • 1
    • 0642371104 scopus 로고    scopus 로고
    • Genomic data sampling and its effect on classification performance assessment
    • Azuaje,F. (2003) Genomic data sampling and its effect on classification performance assessment. BMC Bioinformatics, 4, 5.
    • (2003) BMC Bioinformatics , vol.4 , pp. 5
    • Azuaje, F.1
  • 4
    • 0035076190 scopus 로고    scopus 로고
    • Small sample issues for microarray-based classification
    • Dougherty,E.R. (2001) Small sample issues for microarray-based classification. Comp. Funct. Genom., 2, 28-34.
    • (2001) Comp. Funct. Genom. , vol.2 , pp. 28-34
    • Dougherty, E.R.1
  • 5
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jacknife
    • Efron,B. (1979) Bootstrap methods: another look at the jacknife. Ann. Stat., 7, 1-26.
    • (1979) Ann. Stat. , vol.7 , pp. 1-26
    • Efron, B.1
  • 6
    • 84950461478 scopus 로고
    • Estimating the error rate of a prediction rule: Improvement on cross-validation
    • Efron,B. (1983) Estimating the error rate of a prediction rule: improvement on cross-validation. J. Am. Stat. Assoc., 78, 316-331.
    • (1983) J. Am. Stat. Assoc. , vol.78 , pp. 316-331
    • Efron, B.1
  • 8
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • Proceedings of Fourteenth International Joint Conference on Artificial Intelligence (IJCAI) Montreal, CA
    • Kohavi,R. (1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of Fourteenth International Joint Conference on Artificial Intelligence (IJCAI) Montreal, CA, pp. 1137-1143.
    • (1995) , pp. 1137-1143
    • Kohavi, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.