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font-size:99%'>l</span><span style='font-size:106%;color:#E9EB5D;mso-color-index:
3'>2.45 billion scatter 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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mso-color-index:4'><i>App</i></span><span style='font-family:"Gill Sans";
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  <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">&nbsp; </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">&nbsp; </span>correlations come for a common reference population,
  none<span style="mso-spacerun: yes">&nbsp; </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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