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Volumn 100, Issue 471, 2005, Pages 990-999

CATS: Clustering after Transformation and Smoothing

Author keywords

Clustering; Clustering error rate; False discovery rate; Genetic microarrays; Multiple testing; Smoothing

Indexed keywords


EID: 24644447890     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/016214504000001574     Document Type: Review
Times cited : (87)

References (21)
  • 3
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini, Y., and Hochberg, Y. (1995), "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing," Journal of the Royal Statistical Society, Ser. B, 57, 289-300.
    • (1995) Journal of the Royal Statistical Society, Ser. B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 4
    • 0442278086 scopus 로고    scopus 로고
    • REACT scatterplot smoothers: Superefficiency through basis economy
    • Beran, R. (2000), "REACT Scatterplot Smoothers: Superefficiency Through Basis Economy," Journal of the American Statistical Association, 95, 155-171.
    • (2000) Journal of the American Statistical Association , vol.95 , pp. 155-171
    • Beran, R.1
  • 5
    • 0039394747 scopus 로고    scopus 로고
    • Modulation of estimators and confidence sets
    • Beran, R., and Dümbgen, L. (1998), "Modulation of Estimators and Confidence Sets," The Annals of Statistics, 26, 1826-1856.
    • (1998) The Annals of Statistics , vol.26 , pp. 1826-1856
    • Beran, R.1    Dümbgen, L.2
  • 6
    • 0036376993 scopus 로고    scopus 로고
    • Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments
    • Dudoit, S., Yang, Y. H., Callow, M. J., and Speed, T. P. (2000), "Statistical Methods for Identifying Differentially Expressed Genes in Replicated cDNA Microarray Experiments," Statistical Sinica, 12, 111-140.
    • (2000) Statistical Sinica , vol.12 , pp. 111-140
    • Dudoit, S.1    Yang, Y.H.2    Callow, M.J.3    Speed, T.P.4
  • 9
    • 0035998835 scopus 로고    scopus 로고
    • Model-based clustering, Discriminant analysis, and density estimation
    • Fraley, C., and Raftery, A. E. (2002), "Model-Based Clustering, Discriminant Analysis, and Density Estimation," Journal of the American Statistical Association, 97, 611-631.
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 611-631
    • Fraley, C.1    Raftery, A.E.2
  • 12
    • 0034568109 scopus 로고    scopus 로고
    • Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns
    • research0003.1-0003.21
    • Hastie, T., Tibshirani, R., Eisen, M., Alizadeh, A., Levy, R., Staudt, L., Chan, W., Botstein, D., and Brown, P. (2000), '"Gene Shaving' as a Method for Identifying Distinct Sets of Genes With Similar Expression Patterns," Genome Biology, I, research0003.1-0003.21.
    • (2000) Genome Biology , vol.1
    • Hastie, T.1    Tibshirani, R.2    Eisen, M.3    Alizadeh, A.4    Levy, R.5    Staudt, L.6    Chan, W.7    Botstein, D.8    Brown, P.9
  • 13
    • 1542299386 scopus 로고    scopus 로고
    • Comparing clusterings
    • University of Washington, Dept. of Statistics
    • Meilǎ, M. (2002), "Comparing Clusterings," Technical Report 418, University of Washington, Dept. of Statistics.
    • (2002) Technical Report , vol.418
    • Meilǎ, M.1
  • 14
    • 0034923013 scopus 로고    scopus 로고
    • On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data
    • Newton, M. A., Kendziorski, C. M., Richmond, C. S., Blattner, F. R., and Tsui, K. W. (2001), "On Differential Variability of Expression Ratios: Improving Statistical Inference About Gene Expression Changes From Microarray Data," Journal of Computational Biology, 8, 37-52.
    • (2001) Journal of Computational Biology , vol.8 , pp. 37-52
    • Newton, M.A.1    Kendziorski, C.M.2    Richmond, C.S.3    Blattner, F.R.4    Tsui, K.W.5
  • 15
    • 0000963889 scopus 로고
    • Strong consistency of k-means clustering
    • Pollard, D. (1981), "Strong Consistency of k-Means Clustering," The Annals of Statistics, 1, 135-140.
    • (1981) The Annals of Statistics , vol.1 , pp. 135-140
    • Pollard, D.1
  • 16
    • 0000963885 scopus 로고
    • A central limit theorem for k-means clustering
    • _ (1982), "A Central Limit Theorem for k-Means Clustering," The Annals of Probability, 1, 919-926.
    • (1982) The Annals of Probability , vol.1 , pp. 919-926
  • 17
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • Rand, W. M. (1971), "Objective Criteria for the Evaluation of Clustering Methods," Journal of the American Statistical Association, 66, 846-850.
    • (1971) Journal of the American Statistical Association , vol.66 , pp. 846-850
    • Rand, W.M.1
  • 18
    • 0003670427 scopus 로고    scopus 로고
    • Estimating FDR under dependence with applications to DNA microarrays
    • Stanford University
    • Storey, J. D., and Tibshirani, R. (2002), "Estimating FDR Under Dependence With Applications to DNA Microarrays," Technical Report 2001-217, Stanford University.
    • (2002) Technical Report , vol.2001 , Issue.217
    • Storey, J.D.1    Tibshirani, R.2
  • 21
    • 0003576793 scopus 로고    scopus 로고
    • Normalization for cDNA microarray data
    • University of California, Berkeley
    • Yang, Y. H., Dudoit, S., Luu, P., and Speed, T. P. (2000), "Normalization for cDNA Microarray Data," technical report, University of California, Berkeley.
    • (2000) Technical Report
    • Yang, Y.H.1    Dudoit, S.2    Luu, P.3    Speed, T.P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.