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	<title>Comments on: Low throughput biology</title>
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	<link>http://alanrendall.wordpress.com/2012/04/24/low-throughput-biology/</link>
	<description>A mathematician thinks aloud</description>
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		<title>By: hydrobates</title>
		<link>http://alanrendall.wordpress.com/2012/04/24/low-throughput-biology/#comment-1138</link>
		<dc:creator><![CDATA[hydrobates]]></dc:creator>
		<pubDate>Fri, 17 Aug 2012 13:46:24 +0000</pubDate>
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		<description><![CDATA[For some ideas going in the same direction as this post and coming from a more authoritative source I recommend the article &#039;Sillycon valley fever&#039; by Sydney Brenner (Current Biology 9, R671)]]></description>
		<content:encoded><![CDATA[<p>For some ideas going in the same direction as this post and coming from a more authoritative source I recommend the article &#8216;Sillycon valley fever&#8217; by Sydney Brenner (Current Biology 9, R671)</p>
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		<title>By: hydrobates</title>
		<link>http://alanrendall.wordpress.com/2012/04/24/low-throughput-biology/#comment-856</link>
		<dc:creator><![CDATA[hydrobates]]></dc:creator>
		<pubDate>Tue, 24 Apr 2012 08:50:51 +0000</pubDate>
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		<description><![CDATA[Thanks for this comment. My level of knowledge on the Takens story is about epsilon squared and it sounds to me like something I should know more about.]]></description>
		<content:encoded><![CDATA[<p>Thanks for this comment. My level of knowledge on the Takens story is about epsilon squared and it sounds to me like something I should know more about.</p>
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		<title>By: Juliette Hell</title>
		<link>http://alanrendall.wordpress.com/2012/04/24/low-throughput-biology/#comment-855</link>
		<dc:creator><![CDATA[Juliette Hell]]></dc:creator>
		<pubDate>Tue, 24 Apr 2012 08:19:58 +0000</pubDate>
		<guid isPermaLink="false">http://alanrendall.wordpress.com/?p=1360#comment-855</guid>
		<description><![CDATA[You probably already know it, but your post made me think of the Taken&#039;s reconstruction theorem http://en.wikipedia.org/wiki/Takens&#039;_theorem
which allows to reconstruct the attractor of a system with data  collected from only one (generic) observable, and then estimate the dimension of the attractor that describes the long time behaviour of  the system. It may be a way to get a clue on how complex the system should be, at least in terms of dimension. And use this huge amount of data to simplify the problem.]]></description>
		<content:encoded><![CDATA[<p>You probably already know it, but your post made me think of the Taken&#8217;s reconstruction theorem <a href="http://en.wikipedia.org/wiki/Takens&#039;_theorem" rel="nofollow">http://en.wikipedia.org/wiki/Takens&#039;_theorem</a><br />
which allows to reconstruct the attractor of a system with data  collected from only one (generic) observable, and then estimate the dimension of the attractor that describes the long time behaviour of  the system. It may be a way to get a clue on how complex the system should be, at least in terms of dimension. And use this huge amount of data to simplify the problem.</p>
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