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Small sample issues for microarray-based classification Edward R. Dougherty*...



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Abstract: In order to study the molecular biological differences between normal and diseased tissues, it is desirable to perform classification among diseases and stages of disease using microarray-based gene-expression values. Owing to the limited number of microarrays typically used in these studies, serious issues arise with respect to the design, performance and analysis of classifiers based on microarray data. This paper reviews some fundamental issues facing small-sample classification:... (Update)

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BibTeX entry:   (Update)

@misc{ issues-review,
  author = "Small Sample Issues",
  title = "Review Article",
  url = "citeseer.ist.psu.edu/710131.html" }
Citations (may not include all citations):
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296   A Probabilistic Theory of Pattern Recognition (context) - Devroye, Gyorfi et al. - 1996
165   Molecular classification of cancer: class discovery and clas.. (context) - TR, DK - 2001
139   Exploring the metabolic and genetic control of gene expressi.. (context) - JL, VR et al. - 1997
84   Quantitative monitoring of gene expression patterns with a c.. (context) - Schena, Shalon - 1995
70   The Origins of Order (context) - SA - 1993
19   Expression profiling using cDNA microarrays (context) - DJ, ML et al. - 1999
5   General framework for the analysis of multivariate gene inte.. (context) - Kim, Dougherty - 2000

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