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<title>PowerPoint Presentation - Complex trait analysis, develop-ment, and
genomics</title>
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mso-text-raise:0%'><span style='font-size:82%'><i>App</i></span><span
style='font-size:82%'> transcript coexpression neighborhood</span><span
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<td align=left colspan=1><font face=Helvetica size=3>Output of the Network
Graph. Warm colors (orange and red) are positive correlations above 0.5
whereas cool colors (green and blue) are negative correlations. Notes:</font><br>
</td>
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<tr>
<td colspan=1></td>
<td align=left colspan=1><font face=Arial size=3>1.</font><font
face=Helvetica size=3> All of the nodes (gene/transcripts) on this graph are
clickable.</font><br>
</td>
</tr>
<tr>
<td colspan=1></td>
<td align=left colspan=1><font face=Helvetica size=3>2. For this graph the
App expression values have �reverted� to their pre-Windsorized values.</font><br>
</td>
</tr>
<tr>
<td colspan=1></td>
<td align=left colspan=1><font face=Helvetica size=3>3. To generate this
graph, we used the default setting:<span style="mso-spacerun: yes">
</span>Size of 16 by 16 inches; Gene Symbols; Don't Show Correlations; Use
curved lines (aka �edges�).</font><br>
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