<?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-maria-jose-bolivar</title><link>https://pages.htgaa.org/2026a/maria-jose-bolivar/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>&lt; Assignment Part 1: Intracellular Artificial Neural Networks (IANNs)
Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) 1. Advantages of IANNs over Traditional Boolean Genetic Circuits Continuous Input/Output Behavior Traditional genetic circuits operate as Boolean functions a gene is either ON or OFF (0 or 1). IANNs instead process continuous values, meaning inputs and outputs can exist across a full range (like protein concentrations or expression levels). This is much closer to how biological systems actually work, where gene expression is rarely all or nothing but rather graded and proportional to stimuli.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/maria-jose-bolivar/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>