<?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-yajaira-kelita-mellado-villanueva</title><link>https://pages.htgaa.org/2026a/yajaira-kelita-mellado-villanueva/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Homework — DUE BY Mar 31 2PM ET 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? Tradicional genetic rely on Boolean logic (AND, OR, NOT), producing discrete outputs. In contrast, IAANS are inspired by the perceptron by the perceptron model, where inputs correspond to : Activation is the gene expression threshold, Inputs are molecular concentrations,Weights is regulatory strength. Some advanges are: the continuous signal precessing, wich allows graded rather than binary responses, scalability through multilayer architectures, improved classification of complex cellular states, as multiple biological signals can be integrated and weighted simultaneously.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/yajaira-kelita-mellado-villanueva/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>