Difference between revisions of "Known Issues"

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<h3>java.lang.OutOfMemoryError</h3>
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<h3>java.lang.OutOfMemoryError (GSEA v1)<br />
<span style="font-weight: bold;">Problem</span>: On the Mac, you can run GSEA from the command line, but when you attempt to use the GSEA application from the desktop you receive errors similar to the following:<br /><br />---- Full Error Message ---- <br />na <br /> ---- Stack Trace ---- <br /># of exceptions: 1 <br />------null------ <br />java.lang.OutOfMemoryError <br /><br /><span style="font-weight: bold;">Solution</span>: This is a memory issue with the gsea installer on the Mac. As a workaround, use the following command to launch <br />the GSEA application rather than double clicking the icon: <br /> <br />java -Xmx1800m xapps.gsea.Main<br /><br />
+
</h3>
<h3>java.lang.NullPointerException</h3>
+
<span style="font-weight: bold;">Problem</span>: On the Mac, you can run GSEA from the command line, but when you attempt to use the GSEA application from the desktop you receive errors similar to the following:<br />
 +
<br />
 +
---- Full Error Message ---- <br />
 +
na <br />
 +
---- Stack Trace ---- <br />
 +
# of exceptions: 1 <br />
 +
------null------ <br />
 +
java.lang.OutOfMemoryError <br />
 +
<br />
 +
<span style="font-weight: bold;">Solution</span>: Corrected in GSEA v2. In GSEA v1, this is a memory issue with the gsea installer on the Mac. As a workaround, use the following command to launch the GSEA application rather than double clicking the icon: <br />
 +
<br />
 +
java -Xmx1800m xapps.gsea.Main<br />
 +
<br />
 +
<h3>java.lang.NullPointerException (GSEA v1)<br />
 +
</h3>
 
<span style="font-weight: bold;">Problem</span>: By default, a gene set enrichment analysis uses phenotype permutations. If you have too few samples for phenotype permutation, the following error occurs:<br />
 
<span style="font-weight: bold;">Problem</span>: By default, a gene set enrichment analysis uses phenotype permutations. If you have too few samples for phenotype permutation, the following error occurs:<br />
 
<br />
 
<br />
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&nbsp;&nbsp;&nbsp; at java.lang.Thread.run(Unknown Source)<br />
 
&nbsp;&nbsp;&nbsp; at java.lang.Thread.run(Unknown Source)<br />
 
<br />
 
<br />
<span style="font-weight: bold;">Solution</span>: Use gene_set permutation rather than phenotype permutation. For more information, see the description of the <em>Permutation type</em> parameter on the [http://www.broad.mit.edu/cancer/software/gsea/doc/GSEAUserGuideFrame.htm?Run_GSEA_Page Run GSEA Page] in the <em style="">GSEA User Guide</em>.
+
<span style="font-weight: bold;">Solution</span>: Corrected in GSEA v2. In GSEA v1, use gene_set permutation rather than phenotype permutation. For more information, see the description of the <em>Permutation type</em> parameter on the [http://www.broad.mit.edu/cancer/software/gsea/doc/GSEAUserGuideFrame.htm?Run_GSEA_Page Run GSEA Page] in the <em style="">GSEA User Guide</em>.

Revision as of 12:44, 16 January 2007

java.lang.OutOfMemoryError (GSEA v1)

Problem: On the Mac, you can run GSEA from the command line, but when you attempt to use the GSEA application from the desktop you receive errors similar to the following:


Full Error Message ----

na


Stack Trace ----

  1. of exceptions: 1

null------

java.lang.OutOfMemoryError

Solution: Corrected in GSEA v2. In GSEA v1, this is a memory issue with the gsea installer on the Mac. As a workaround, use the following command to launch the GSEA application rather than double clicking the icon:

java -Xmx1800m xapps.gsea.Main

java.lang.NullPointerException (GSEA v1)

Problem: By default, a gene set enrichment analysis uses phenotype permutations. If you have too few samples for phenotype permutation, the following error occurs:


Stack Trace ----

  1. of exceptions: 1

null------

java.lang.NullPointerException
    at edu.mit.broad.genome.alg.DatasetStatsCore.calc2ClassCategoricalMetricMarkerScores(DatasetStatsCore.java:236)
    at edu.mit.broad.genome.alg.markers.PermutationTestBuilder.<init>(PermutationTestBuilder.java:94)
    at edu.mit.broad.genome.alg.gsea.KSTests.shuffleTemplate_canned_templates(KSTests.java:360)
    at edu.mit.broad.genome.alg.gsea.KSTests.shuffleTemplate(KSTests.java:291)
    at edu.mit.broad.genome.alg.gsea.KSTests.executeGsea(KSTests.java:156)
    at edu.mit.broad.genome.alg.gsea.KSTests.executeGsea(KSTests.java:130)
    at xtools.gsea.AbstractGsea2Tool.execute_one(AbstractGsea2Tool.java:103)
    at xtools.gsea.AbstractGsea2Tool.execute_one_with_reporting(AbstractGsea2Tool.java:137)
    at xtools.gsea.Gsea.execute(Gsea.java:111)
    at edu.mit.broad.xbench.tui.TaskManager$ToolRunnable.run(TaskManager.java:468)
    at java.lang.Thread.run(Unknown Source)

Solution: Corrected in GSEA v2. In GSEA v1, use gene_set permutation rather than phenotype permutation. For more information, see the description of the Permutation type parameter on the Run GSEA Page in the GSEA User Guide.