<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Netvouz / bioinformatics / tag / matlab</title>
<link>http://netvouz.com/bioinformatics/tag/matlab?feed=rss</link>
<description>bioinformatics&#39;s bookmarks tagged &quot;matlab&quot; on Netvouz</description>
<item><title>Bioinformatics Toolbox - Working with Graph Theory Functions Demo</title>
<link>http://www.mathworks.com/products/bioinfo/demos.html?file=/products/demos/shipping/bioinfo/graphtheorydemo.html#1</link>
<description></description>
<category domain="http://netvouz.com/bioinformatics?category=5775838186671091564"></category>
<author>bioinformatics</author>
<pubDate>Wed, 19 Nov 2008 17:47:33 GMT</pubDate>
</item><item><title>How MATLAB Represents Pixel Colors</title>
<link>http://www.mathworks.com/company/newsletters/digest/2006/july/pixel.html?s_cid=MLD0706na3TA1</link>
<description>The MathWorks - MATLAB Digest - July 2006</description>
<category domain="http://netvouz.com/bioinformatics?category=5775838186671091564"></category>
<author>bioinformatics</author>
<pubDate>Fri, 21 Jul 2006 21:38:36 GMT</pubDate>
</item><item><title>MATLAB / R Reference, by David Hiebeler</title>
<link>http://www.math.umaine.edu/~hiebeler/comp/matlabR.html</link>
<description>Equivalent commands are given.</description>
<category domain="http://netvouz.com/bioinformatics?category=5775838186671091564"></category>
<author>bioinformatics</author>
<pubDate>Thu, 03 Jun 2010 17:42:54 GMT</pubDate>
</item><item><title>MATLAB for Excel Users - Recorded Webinar</title>
<link>http://www.mathworks.com/company/events/webinars/wbnr31281.html?id=31281&amp;p1=65388&amp;p2=65390</link>
<description></description>
<category domain="http://netvouz.com/bioinformatics?category=5775838186671091564"></category>
<author>bioinformatics</author>
<pubDate>Fri, 06 Feb 2009 19:07:08 GMT</pubDate>
</item><item><title>MatlabBGL</title>
<link>http://www.stanford.edu/~dgleich/programs/matlab_bgl/</link>
<description>&quot;MatlabBGL is a Matlab package for working with graphs.  It uses the  Boost Graph Library to efficiently implement the graph algorithms.  MatlabBGL is designed to work with large sparse graphs with hundreds of thousands of nodes.&quot;</description>
<category domain="http://netvouz.com/bioinformatics?category=5775838186671091564"></category>
<author>bioinformatics</author>
<pubDate>Wed, 19 Nov 2008 15:44:27 GMT</pubDate>
</item><item><title>Recorded Webinars by Application</title>
<link>http://www.mathworks.com/company/events/webinars/index.html?recordedwebinars</link>
<description></description>
<category domain="http://netvouz.com/bioinformatics?category=5775838186671091564"></category>
<author>bioinformatics</author>
<pubDate>Tue, 18 Nov 2008 20:03:29 GMT</pubDate>
</item><item><title>Topic Modeling Toolbox</title>
<link>http://psiexp.ss.uci.edu/research/programs_data/toolbox.htm</link>
<description>&quot;This is a comprehensive MATLAB software package that Mark Steyvers and Tom Griffiths have made available for research, using the Gibbs sampling approach described originally in Griffiths and Steyvers, 2004.&quot;</description>
<category domain="http://netvouz.com/bioinformatics?category=5775838186671091564"></category>
<author>bioinformatics</author>
<pubDate>Tue, 27 Oct 2009 20:38:56 GMT</pubDate>
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