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Enzyme Kinetics: How Quickly Can Acetylcholinesterase Break Up Your Thoughts?
23 Aug 2023 | Teaching Materials | Contributor(s):
By Hannah Pie1, Michelle Starz-Gaiano2
1. Howard County Community College 2. University of Maryland Baltimore County
This module contains exercises designed to help upper-level cell biology students understand the common graphical methods used to evaluate enzyme activity and to see the impact of inhibitors on...
https://qubeshub.org/publications/4517/?v=1
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Quantifying Bacterial Growth in the Guts and Hemolymph of Fruit Flies: Mathematical Modeling and Data Interpolation/Extrapolation
09 Aug 2023 | Teaching Materials | Contributor(s):
By Maila Hallare1, Iordanka Panayotova2, Anna Salazar3
1. NSU Math 2. Christopher Newport University 3. MBCH
In this activity, students will analyze raw data obtained from an experiment that explores the effect of overexpressing the Ssk protein in order to strengthen the intestinal barrier and prevent...
https://qubeshub.org/publications/3403/?v=1
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Making Predictions with Linear Models: A Murder Mystery Case Study
31 May 2021 | Teaching Materials | Contributor(s):
By Miranda Chen Musgrove1, Lisa A. Corwin1, Andrew Martin1
University of Colorado, Boulder
This Swirl lesson will introduce two main concepts to students: 1) the idea of uncertainty around linear slopes versus individual values and 2) predicting values using linear models.
https://qubeshub.org/publications/2396/?v=1
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A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
https://qubeshub.org/publications/833/?v=1
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Linear Models and Linear Mixed Effects in R: Tutorial 1
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The first of two tutorials that introduce you to linear and linear mixed models.
https://qubeshub.org/publications/832/?v=1