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<title>PowerPoint Presentation - Complex trait analysis, develop-ment, and
genomics</title>
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<meta name=Description content=Jun-19-03>
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plots: </span><span style='font-size:94%;color:#E9EB5D;mso-color-index:3'>here
is one of the best</span></div>
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color:#003399;mso-color-index:4'><i>App</i></span><span style='font-family:
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lastCR;display:none'><i><br>
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<td colspan=1></td>
<td align=left colspan=1><font face=Helvetica size=3>The correlation between
App and heat shock protein 84-1 transcript is most impressive.<span
style="mso-spacerun: yes"> </span>Since WebQTL now contains total of
about 70,000 traits in the BXD strains, we could produce as many as to 70k x
35k scatter plots of this type. Since all of the<span style="mso-spacerun:
yes"> </span>correlations come for a common reference population,
none<span style="mso-spacerun: yes"> </span>of the correlations are
blantantly silly. However the great majority may be uninterpretable and a
very large number may be meaningless given the signal-to-noise ratios of
some measurements. With about 30 strains, correlations above 0.7 have a
reasonably low false positive rate.</font><br>
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</tr>
</table>
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