Abstract </head> <body text="#000000" bgcolor="#FFFFFF" link="#0000EF" vlink="#CF30CF" alink="#FF0000" nosave> <br> <center><h2> Functions, Networks, and Phenotypes by Integrative Genomics Analysis </h2> <br> <h2> Xianghong Jasmine Zhou </h2> <h3> (University of Southern California) </h3> </center> <br> The rapid accumulation of genomics data provides unprecedented opportunities to systematically infer gene functions, regulatory networks, and phenotype associations. In this talk, we develop several graph-based data mining algorithms to integrate diverse genomics data, especially the vast amount of microarray data in the public repositories. A series of microarray data sets are modeled as a series of co-expression networks, in which we search for frequently occurring network patterns. Our integrative approach for functional annotation provides three major advantages over the commonly used microarray analysis methods: (1) enhance signal to noise separation (2) identify functionally related genes without co-expression, and (3) provides a way to predict gene functions in a context-specific way. Furthermore, we show that frequently occurring co-expression clusters are more likely to represent transcriptional modules than those clusters derived from a single microarray dataset. In addition, we propose the concept of "second-order correlation" which enables us to trace the upstream events of transcription cascades. Finally, we develop methods to systematically identify phenotype specific network patterns and regulatory modules. <br><br><br> <a href="index.html">Back to main page</a><br><br> <hr> <p><br><br>  <script type="text/javascript"> var sc_project=2800657; var sc_invisible=0; var sc_partition=28; var sc_security="dd1187b0"; </script> <script type="text/javascript" src="http://www.statcounter.com/counter/counter_xhtml.js"></script><noscript><div class="statcounter"><a class="statcounter" href="http://www.statcounter.com/"><img class="statcounter" src="http://c29.statcounter.com/2800657/0/dd1187b0/0/" alt="free stats" /></a></div></noscript>  </body> </html>