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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Noise Filtering and Prediction in Biological Signaling Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1610.00820/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1610.00820/feed.xml" rel="self" type="application/rss+xml" /><item><title>Noise Filtering and Prediction in Biological Signaling Networks — mentioned by entee</title><link>https://news.ycombinator.com/item?id=16996916</link><guid isPermaLink="false">urn:hackerpapers:mention:1610.00820:16996916</guid><pubDate>Fri, 04 May 2018 18:20:53 GMT</pubDate><description>&lt;p&gt;While there&amp;#x27;s truth in the paradigm you advance, it&amp;#x27;s not anywhere near as binary or direct as you might me suggesting. There&amp;#x27;s a ton of leakage and noise at most stages in biological pathways. Biology actually spends enormous amounts of effort to reduce the noise and leakage, but it&amp;#x27;s really hard to eliminate entirely. Lets take the danger temp gene you use as an example. In bacteria that&amp;#x27;s mostly true, but even there what if we&amp;#x27;re low on nutrients? Or low on a particular nutrient? Or what if we start producing too much protein which is aggregating because the concentration is too high? Each…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1610.00820/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.MN</category></item></channel></rss>
