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	<title>Michael P. Verdicchio &#187; Graph Theory</title>
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	<link>http://www.michaelverdicchio.com</link>
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		<title>First Publication</title>
		<link>http://www.michaelverdicchio.com/2008/09/23/first-publication/</link>
		<comments>http://www.michaelverdicchio.com/2008/09/23/first-publication/#comments</comments>
		<pubDate>Tue, 23 Sep 2008 15:07:44 +0000</pubDate>
		<dc:creator>Michael</dc:creator>
				<category><![CDATA[Cellular Context Mining]]></category>
		<category><![CDATA[Conference]]></category>
		<category><![CDATA[Context-Specific GRN]]></category>
		<category><![CDATA[Graph Theory]]></category>
		<category><![CDATA[context-clusters]]></category>
		<category><![CDATA[contexts]]></category>
		<category><![CDATA[gene-regulatory-networks]]></category>
		<category><![CDATA[master-slave-model]]></category>
		<category><![CDATA[publications]]></category>

		<guid isPermaLink="false">http://www.michaelverdicchio.com/?p=86</guid>
		<description><![CDATA[My group&#8217;s manuscript, &#8220;Context-Specific Gene Regulations in Cancer Gene Expression Data,&#8221; was accepted to the 2009 Pacific Symposium on Biocomputing (link).  I&#8217;ve posted the manuscript on the Research page.]]></description>
			<content:encoded><![CDATA[<p>My group&#8217;s manuscript, &#8220;Context-Specific Gene Regulations in Cancer Gene Expression Data,&#8221; was accepted to the 2009 Pacific Symposium on Biocomputing (<a href="http://psb.stanford.edu">link</a>).  I&#8217;ve posted the manuscript on the Research page.</p>
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		<title>Articulation Points</title>
		<link>http://www.michaelverdicchio.com/2007/12/13/articulation-points/</link>
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		<pubDate>Thu, 13 Dec 2007 19:31:26 +0000</pubDate>
		<dc:creator>Michael</dc:creator>
				<category><![CDATA[Articulation Points]]></category>
		<category><![CDATA[Graph Theory]]></category>
		<category><![CDATA[Robert Tarjan]]></category>

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		<description><![CDATA[For my semester project in my algorithms class I implemented an articulation point detection algorithm by Harold Gabow. Articulation points, a.k.a. cut vertices, are vertices in an undirected graph which, when removed, break the graph into components. The stack-based algorithm is a version of Robert Tarjan’s LOWPOINT method, and it runs in roughly O(&#124;V&#124;*&#124;E&#124;). I [...]]]></description>
			<content:encoded><![CDATA[<p>For my semester project in my algorithms class I implemented an articulation point detection algorithm by Harold Gabow. Articulation points, a.k.a. cut vertices, are vertices in an undirected graph which, when removed, break the graph into components. The stack-based algorithm is a version of Robert Tarjan’s LOWPOINT method, and it runs in roughly O(|V|*|E|). I picked it for my project since I’d eventually like to apply articulation point detection to gene regulatory network studies. I’ve posted the report, the software, sample input/output, and source code on my website: <a href="http://www.michaelverdicchio.com/articulation">http://www.michaelverdicchio.com/articulation</a>.</p>
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