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    <title>Nature Precedings - Tag feed for contingency table</title>
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      <title>ProbCD: enrichment analysis accounting for categorization uncertainty</title>
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      <description>As in many other areas of science, systems biology makes extensive use of statistical association and significance estimates in contingency tables, a type of categorical data analysis known in this field as enrichment (also over-representation or enhancement) analysis. In spite of efforts to create probabilistic annotations, especially in the Gene Ontology context, or to deal with uncertainty in high throughput-based datasets, current enrichment methods largely ignore this probabilistic information since they are mainly based on variants of the Fisher Exact Test. We developed an open-source R package to deal with probabilistic categorical data analysis, ProbCD, that does not require a static contingency table. The contingency table forthe enrichment problem is built using the expectation of a Bernoulli Scheme stochastic process given the categorization probabilities. An on-line interface was created to allow usage by non-programmers and is available at: http://xerad.systemsbiology.net/ProbCD/. We present an analysis framework and software tools to address the issue of uncertainty in categorical data analysis. In particular, concerning the enrichment analysis, ProbCD can accommodate: (i) the stochastic nature of the high-throughput experimental techniques and (ii) probabilistic gene annotation.</description>
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      <pubDate>Fri, 06 Jul 2007 04:42:39 UTC</pubDate>
      <dc:title>ProbCD: enrichment analysis accounting for categorization uncertainty</dc:title>
      <dc:identifier>hdl:10101/npre.2007.369.1</dc:identifier>
      <dc:date>2007-07-06</dc:date>
      <dc:creator>Ricardo V&#234;ncio</dc:creator>
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      <prism:publicationDate>2007-07-06T04:42:39Z</prism:publicationDate>
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      <prism:section>Biotechnology</prism:section>
      <prism:section>Genetics &amp; Genomics</prism:section>
      <prism:section>Bioinformatics</prism:section>
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