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Volumn 6, Issue 2, 2005, Pages 183-186

A note on joint versus gene-specific mixed model analysis of microarray gene expression data

Author keywords

Differential gene expression; Microarrays; Mixed model analysis

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; DNA MICROARRAY; GENE EXPRESSION PROFILING; METHODOLOGY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 22144490889     PISSN: 14654644     EISSN: None     Source Type: Journal    
DOI: 10.1093/biostatistics/kxi001     Document Type: Article
Times cited : (7)

References (11)
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    • Calculation of the minimum number of replicate spots required for detection of significant gene expression fold change in microarray experiments
    • BLACK, M. A. AND DOERGE, R. W. (2002). Calculation of the minimum number of replicate spots required for detection of significant gene expression fold change in microarray experiments. Bioinformatics 18, 1609-1616.
    • (2002) Bioinformatics , vol.18 , pp. 1609-1616
    • Black, M.A.1    Doerge, R.W.2
  • 3
    • 0000967948 scopus 로고
    • Best linear unbiased prediction in the generalized linear regression model
    • GOLDBERGER, A. S. (1962). Best linear unbiased prediction in the generalized linear regression model. Journal of the American Statistical Association 57, 369-375.
    • (1962) Journal of the American Statistical Association , vol.57 , pp. 369-375
    • Goldberger, A.S.1
  • 4
    • 1042302535 scopus 로고    scopus 로고
    • Application of 'delete = replace' to deletion diagnostics for variance component estimation in the linear mixed model
    • HASLETT, J. AND DILLANE, D. (2004). Application of 'delete = replace' to deletion diagnostics for variance component estimation in the linear mixed model. Journal of the Royal Statistical Society, Series B 66, 131-143.
    • (2004) Journal of the Royal Statistical Society, Series B , vol.66 , pp. 131-143
    • Haslett, J.1    Dillane, D.2
  • 5
    • 0000517795 scopus 로고
    • Selection index and expected genetic advance
    • (NRC publication 982). Washington, DC: National Academy of Sciences
    • HENDERSON, C. R. (1963). Selection index and expected genetic advance. In Statistical Genetics and Plant Breeding (NRC publication 982). Washington, DC: National Academy of Sciences, pp. 141-163.
    • (1963) Statistical Genetics and Plant Breeding , pp. 141-163
    • Henderson, C.R.1
  • 6
    • 0346021343 scopus 로고    scopus 로고
    • Linear models for microarray data analysis: Hidden similarities and differences
    • KERR, M. K. (2003). Linear models for microarray data analysis: hidden similarities and differences. Journal of Computational Biology 10, 891-901.
    • (2003) Journal of Computational Biology , vol.10 , pp. 891-901
    • Kerr, M.K.1
  • 7
    • 0000884487 scopus 로고    scopus 로고
    • Experimental design for gene expression microarrays
    • KERR, M. K. AND CHURCHILL, G. (2001). Experimental design for gene expression microarrays. Biostatistics 2, 183-201.
    • (2001) Biostatistics , vol.2 , pp. 183-201
    • Kerr, M.K.1    Churchill, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.