<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 7 HW: Genetic Circuits Part II :: 2026a-hana-sylvester</title><link>https://pages.htgaa.org/2026a/hana-sylvester/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Summary"Cancer wil ultimately be a chronic disease." - Rob Weiss I have to say this was one of my favourite lectures.
Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) 📟 1. What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
Boolean functions are binary, representing either on or off. Whereas the logic of IANNS (Interfering RNA-based Analog Neural Networks or Intracellular Artificial Neural Networks?) is more nuanced and geared towards more brain-like information processing. They can detect not merely whether a signal is present or not, but how strong it is. This is important because, in short, biology is messy!</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/hana-sylvester/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>