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document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' ); </script> <div><script language=JavaScript><!-- xx = 0.17 * g_width; yy = 0.46 * g_height; ht = 0.53 * g_height; wd = 0.65 * g_width; document.write( '<img border=0 src="slide0014_image022.gif" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' ); //--> </script></div> </layer></div> </LAYER> <layer> <div id=NotesObj style='display:none'> <table style='color:white' border=0 width="100%"> <tr> <td width=5 nowrap></td> <td width="100%"></td> </tr> <tr> <td colspan=1></td> <td align=left colspan=1><font face=Helvetica size=3>Another example, but in this case we are generating correlations between variation in transcript levels with a database of approximately 430 published (and unpublished) phenotypes from BXD strains. Notice that the N of strains is variable (from 21 to 28 above). Rank order statistics is more appropriate when N is under 30.</font><br> </td> </tr> <tr> <td colspan=1></td> <td align=left colspan=1><br> </td> </tr> <tr> <td colspan=1></td> <td align=left colspan=1><font face=Helvetica size=3>The Published Phenotypes database was prepared by Elissa Chesler and Robert Williams from data extracted from the literature or sent to us for inclusion by our colleagues. We especially thank John Crabbe (Oregon HSU) and Byron Jones (Pennsylvania SU) for providing us with large pre-compiled data tables.</font><br> </td> </tr> </table> </div> </layer> <script language=JavaScript><!-- //--> </script><script language=JavaScript><!-- function playList() { } //--> </script> </body> </html>