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Improved Estimation of Correlation in Microarray Data Analysis  (Make Corrections)  
Marc Sobel, and Bud Mishra Statistics Department, Temple University,...



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Abstract: In the original work on clustering due to Eisen et al., in which they performed one of the most highly-re-analyzed microarray dataset of gene expressions, the authors claimed to have "found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together e#- ciently genes of known similar function." However, they measured similarity between any pair of genes using a somewhat non-standard definition of correlation coe#cient instead of Pearson's correlation coe... (Update)

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BibTeX entry:   (Update)

@misc{ and-improved,
  author = "Marc Sobel And",
  title = "Improved Estimation of Correlation in Microarray Data Analysis",
  url = "citeseer.ist.psu.edu/765921.html" }
Citations (may not include all citations):
1213   Self Organizing Maps (context) - Kohonen - 2001
272   Cluster Analysis and Display of Genome-Wide Expression Patte.. (context) - Eisen, Spellman et al. - 1998
88   Bayes and Empirical Bayes Methods for Data Analysis (context) - Carlin, Louis - 1996
15   Bootstrap Methods for Standard Errors, Confidence Intervals,.. (context) - Efron - 1986
7   Empirical Bayes Methods for Combining Likelihoods (context) - Efron - 1996
5   DNA Microarrays and Gene Expression (context) - Baldi, Hatfield - 2002
1   Shrinkage-Based Similarity Metric for Cluster Analysis of Mi.. - Cherepinsky, Feng et al. - 2003
1   The Analysis of Gene Expression Data: Methods and Software (context) - Parmigiani, Garrett et al. - 2003

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