메뉴 건너뛰기




Volumn 22, Issue 3, 2003, Pages 481-499

A statistical perspective on gene expression data analysis

Author keywords

Class discovery; Class prediction; Classification; Compound covariate predictor; Fisher's linear discriminant function; Hierarchial clustering; Multiple correction

Indexed keywords

COMPLEMENTARY DNA; OLIGONUCLEOTIDE;

EID: 0037441446     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1350     Document Type: Review
Times cited : (26)

References (38)
  • 2
    • 0033031437 scopus 로고    scopus 로고
    • DNA arrays for analysis of gene expression
    • Eisen MB, Brown PO. DNA arrays for analysis of gene expression. Methods in Enzymology 1999; 303:179-205.
    • (1999) Methods in Enzymology , vol.303 , pp. 179-205
    • Eisen, M.B.1    Brown, P.O.2
  • 9
    • 0034601487 scopus 로고    scopus 로고
    • Genomic analysis of metastasis reveals an essential role for RhoC
    • (6795)
    • Clark EA, Golub TR, Lander ES, Hynes RO. Genomic analysis of metastasis reveals an essential role for RhoC. Nature 2000; 406(6795):532-535.
    • (2000) Nature , vol.406 , pp. 532-535
    • Clark, E.A.1    Golub, T.R.2    Lander, E.S.3    Hynes, R.O.4
  • 13
    • 0000847978 scopus 로고    scopus 로고
    • Gene-expression profile of the ageing brain in mice
    • Lee C-K, Weindruch R, Prolla TA. Gene-expression profile of the ageing brain in mice. Nature Genetics 2000; 25(3):294-297.
    • (2000) Nature Genetics , vol.25 , Issue.3 , pp. 294-297
    • Lee, C.-K.1    Weindruch, R.2    Prolla, T.A.3
  • 16
    • 0035816183 scopus 로고    scopus 로고
    • Use of cDNA microarrays to analyze dioxin-induced changes in human liver gene expression
    • Frueh FW, Hayashibara KC, Brown PO, Whitlock JP Jr. Use of cDNA microarrays to analyze dioxin-induced changes in human liver gene expression. Toxicology Letters 2001; 122(3):189-203.
    • (2001) Toxicology Letters , vol.122 , Issue.3 , pp. 189-203
    • Frueh, F.W.1    Hayashibara, K.C.2    Brown, P.O.3    Whitlock J.P., Jr.4
  • 20
    • 0003812858 scopus 로고    scopus 로고
    • Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments
    • Technical report 578. 2000, Department of Statistics, University of California, March
    • Dudoit S, Yang YH, Callow MJ, Speed TP. Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Technical report 578. 2000, Department of Statistics, University of California, March 2002
    • (2002)
    • Dudoit, S.1    Yang, Y.H.2    Callow, M.J.3    Speed, T.P.4
  • 21
    • 0004156776 scopus 로고
    • Resampling-based multiple testiny
    • Wiley: New York
    • Westfall PH, Young SS. Resampling-based multiple testiny. Wiley: New York, 1993.
    • (1993)
    • Westfall, P.H.1    Young, S.S.2
  • 22
  • 24
    • 0000884487 scopus 로고    scopus 로고
    • Experimental design for gene expression microarrays
    • Kerr MK, Churchill GA. Experimental design for gene expression microarrays. Biostatistics 2001; 2(2):183-201.
    • (2001) Biostatistics , vol.2 , Issue.2 , pp. 183-201
    • Kerr, M.K.1    Churchill, G.A.2
  • 25
    • 0035032570 scopus 로고    scopus 로고
    • Statistical design and the analysis of gene expression microarrays
    • Kerr MK, Churchill GA. Statistical design and the analysis of gene expression microarrays. Genetical Research 2001; 77(2):123-128.
    • (2001) Genetical Research , vol.77 , Issue.2 , pp. 123-128
    • Kerr, M.K.1    Churchill, G.A.2
  • 26
    • 0006075718 scopus 로고    scopus 로고
    • How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
    • Technical report 2001-012, Division of Biostatistics, University of Minnesota, March
    • Pan W, Lin J, Le C. How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach. Technical report 2001-012, Division of Biostatistics, University of Minnesota, March 2002 (http://www.biostat.umn.edu/weip/paperSubj.html).
    • (2002)
    • Pan, W.1    Lin, J.2    Le, C.3
  • 28
    • 0031246430 scopus 로고    scopus 로고
    • Ratio-based decisions and the quantitative analysis of cDNA microarray images
    • Chen Y, Dougherty ER, Bittner ML. Ratio-based decisions and the quantitative analysis of cDNA microarray images. Journal of Biomedical Optics 1997; 2:364-374.
    • (1997) Journal of Biomedical Optics , vol.2 , pp. 364-374
    • Chen, Y.1    Dougherty, E.R.2    Bittner, M.L.3
  • 29
    • 0034923013 scopus 로고    scopus 로고
    • On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data
    • Newton MA, Kendziorski CM, Richmond CS, Blattner FR, Tsui KW. On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data. Journal of Computational Biology 2001; 8(1):37-52.
    • (2001) Journal of Computational Biology , vol.8 , Issue.1 , pp. 37-52
    • Newton, M.A.1    Kendziorski, C.M.2    Richmond, C.S.3    Blattner, F.R.4    Tsui, K.W.5
  • 30
    • 0035793042 scopus 로고    scopus 로고
    • Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection
    • Li C, Wong WH. Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. Proceedings of the National Academy of Sciences 2001; 98(1):31-36.
    • (2001) Proceedings of the National Academy of Sciences , vol.98 , Issue.1 , pp. 31-36
    • Li, C.1    Wong, W.H.2
  • 31
    • 0003812861 scopus 로고    scopus 로고
    • Microarrays and their use in a comparative experiment
    • Technical report 213. 2000, Department of Statistics, Stanford University, March
    • Efron B, Tibshirani R, Goss V, Chu G. Microarrays and their use in a comparative experiment. Technical report 213. 2000, Department of Statistics, Stanford University, March 2002 (http://www-stat.stanford.edu/tibs/research.html).
    • (2002)
    • Efron, B.1    Tibshirani, R.2    Goss, V.3    Chu, G.4
  • 32
    • 0003758190 scopus 로고    scopus 로고
    • Estimating the posterior probability of differential gene expression from microarray data
    • Statistical Genetics Group, The Jackson Laboratory
    • Sapir M, Churchill GA. Estimating the posterior probability of differential gene expression from microarray data. Statistical Genetics Group, The Jackson Laboratory, 2001 (htt://www.jax.org/research/churchill).
    • (2001)
    • Sapir, M.1    Churchill, G.A.2
  • 36
    • 0006048396 scopus 로고    scopus 로고
    • A mixture model approach to detecting differentially expressed genes with microarray data
    • Technical report 2001-011, Division of Biostatistics, University of Minnesotta, March
    • Pan W, Lin J, Le C. A mixture model approach to detecting differentially expressed genes with microarray data. Technical report 2001-011, Division of Biostatistics, University of Minnesotta, March 2002 (http://www.biostat.umn.edu/weip/paperSubj.html).
    • (2002)
    • Pan, W.1    Lin, J.2    Le, C.3
  • 37
    • 0003625199 scopus 로고    scopus 로고
    • Microarrays, empirical Bayes methods, and false discovery rates
    • Technical report 217. 2001, Department of Statistics, Stanford University, March
    • Efron B, Storey JD, Tibshirani R. Microarrays, empirical Bayes methods, and false discovery rates. Technical report 217. 2001, Department of Statistics, Stanford University, March 2002 (http://www-stat.stanford.edu/tibs/research.html).
    • (2002)
    • Efron, B.1    Storey, J.D.2    Tibshirani, R.3
  • 38
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit S, Fridlyand J, Speed TP. Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association 2002; 97(457):77-87.
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.457 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.