Difference between revisions of "1006"

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     <li>Diff_of_classes</li>
 
     <li>Diff_of_classes</li>
 
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For information about the metrics, see the <span style="font-style: italic;">Metric for ranking genes </span>parameter on the [http://wwwdev.broad.mit.edu/gsea/doc/GSEAUserGuide.htm#Run_GSEA_Page Run GSEA Page] in the <em style="">GSEA User Guide</em>.<br />For information about phenotypes, see [http://wwwdev.broad.mit.edu/gsea/doc/GSEAUserGuide.htm#Phenotypes Phenotype Labels] in the <em style="">GSEA User Guide. </em><br />
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<br />For information about the metrics, see the <span style="font-style: italic;">Metric for ranking genes </span>parameter on the [http://wwwdev.broad.mit.edu/gsea/doc/GSEAUserGuide.htm#Run_GSEA_Page Run GSEA Page] in the <em style="">GSEA User Guide</em>.<br />For information about phenotypes, see [http://wwwdev.broad.mit.edu/gsea/doc/GSEAUserGuide.htm#Phenotypes Phenotype Labels] in the <em style="">GSEA User Guide. </em>

Revision as of 14:52, 19 September 2006

The metric that you selected in the Metric for ranking genes parameter (Signal2Noise or tTest) requires that you have at least two samples for each phenotype; however, you have only one sample for one of the phenotypes selected in the Phenotype labels parameter .

To analyze a categorical phenotype that has only one sample, use one of the following ranking metrics:

  • Ratio_of_classes
  • log2_Ratio_of_classes
  • Diff_of_classes


For information about the metrics, see the Metric for ranking genes parameter on the Run GSEA Page in the GSEA User Guide.
For information about phenotypes, see Phenotype Labels in the GSEA User Guide.