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authorzsloan2015-03-27 20:28:51 +0000
committerzsloan2015-03-27 20:28:51 +0000
commitd0911a04958a04042da02a334ccc528dae79cc17 (patch)
tree3c48e2e937c1dbeaf00a5697c87ed251afa5c8f1 /web/tutorial/ppt/WebQTLDemo_files/slide0008.htm
parenta840ad18e1fe3db98a359a159e9b9b72367a2839 (diff)
downloadgenenetwork2-d0911a04958a04042da02a334ccc528dae79cc17.tar.gz
Removed everything from 'web' directory except genofiles and renamed the directory to 'genotype_files'
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-<html> <head> <meta http-equiv=Content-Type content="text/html; charset=macintosh"> <meta name=ProgId content=PowerPoint.Slide> <meta name=Generator content="Microsoft Macintosh PowerPoint 10"> <link id=Main-File rel=Main-File href="WebQTLDemo.htm"> <title>PowerPoint Presentation - Complex trait analysis, develop-ment, and genomics</title> <link title="Presentation File" type="application/powerpoint" rel=alternate href=WebQTLDemo.ppt> <script>
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-</script> </head> <body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)" onresize="_RSW()" onkeypress="_KPH(event)"> <div id=SlideObj class=sld style='position:absolute;top:0px;left:0px; width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%); visibility:hidden'><img src="master03_background.gif" v:shapes="_x0000_s1026" style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'> <div style='position:absolute;top:1.41%;left:3.31%;width:93.77%;height:14.66%; filter:DropShadow(Color=#000000, OffX=1, OffY=1)'> <div class=B style='mso-line-spacing:" 0 ";mso-margin-left-alt:348;mso-text-indent-alt: 56;position:absolute;top:0%;left:2.11%;width:96.46%;height:50.6%'><span style='mso-special-format:nobullet;display:none;color:#FBFDB8;font-family:"Monotype Sorts"; font-size:99%'>l</span><span style='font-size:106%;color:#E9EB5D;mso-color-index: 3'>The </span><span style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span style='font-size:106%;color:#E9EB5D;mso-color-index:3'> transcript neighborhood</span></div> </div> <img border=0 src="slide0008_image014.gif" style='position:absolute;top:10.77%; left:5.82%;width:66.62%;height:88.33%'> <div class=O style='position:absolute;top:30.74%;left:75.23%;width:26.22%; height:18.72%'><span style='position:absolute;top:0%;left:0%;width:91.91%'><span style='font-size:150%;color:#E9EB5D;mso-color-index:3'><b>Question: </b></span><span style='font-size:133%;color:#E9EB5D;mso-color-index:3'><b>How </b></span></span><span style='position:absolute;top:21.69%;left:0%;width:97.47%'><span style='font-size:133%;color:#E9EB5D;mso-color-index:3'><b>many transcripts </b></span></span><span style='position:absolute;top:40.56%;left:0%;width:100.0%'><span style='font-size:133%;color:#E9EB5D;mso-color-index:3'><b>have correlations </b></span></span><span style='position:absolute;top:59.43%;left:0%;width:97.97%'><span style='font-size:133%;color:#E9EB5D;mso-color-index:3'><b>&gt;0.7? What does </b></span></span><span style='position:absolute;top:79.24%;left:0%;width:85.35%'><span style='font-size:133%;color:#E9EB5D;mso-color-index:3'><b>this imply.</b></span></span></div> </div> <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>The answer is a strong Yes. A very large number of transcripts have correlations above 0.7 (absolute value) with App mRNA. The precise number today is 208. But this will change as we add more strains and arrays. In any case, this is a fairly large number and all of these correlations are significant at alpha .05 even when correcting for the enormous numbers<span style="mso-spacerun: yes">&nbsp; </span>of tests (12422 tests).</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>What does this imply?</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>That there can be massive codependence of expression variance among transcripts. App is NOT an isolated instance. This is improtant biologically and statistically. From a statistical perspective, we would like to know how many ÒindependentÓ test we effectively are performing when we use array data in this way. Are we testing 12000 independent transcripts or just 1200 transcriptional ÒmodulesÓ each with blurred boarders but each with about 10 effective members. There is no answer yet, but we probaby have a large enough data set to begin to answer this question.</font><br> </td> </tr> </table> </div> <script language=JavaScript><!--
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