<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>week-07-hw-genetic-circuits-part-ii :: 2026a-vithushan-varatharaj</title><link>https://pages.htgaa.org/2026a/vithushan-varatharaj/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Advantages include the fact that since IANNs connections between nodes can have varying continuous weightages this is very important when it comes to modelling the effect a gene has on a biological outcome as its very likely that they hold a non-linear relationship and so being able to model for this discrepancy is important as boolean functions assume two discrete states which isnt the case.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/vithushan-varatharaj/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>