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Description:: This dissertation presents two projects with the goal of understanding how to quantitatively describe biological data, particularly data that is highly dynamic. The first study presents an improved quantitative tool for the analysis of particulate trajectories. Particulate trajectory data appears in several different biological contexts, and the majority of analyses...
Keyword:: Differential Equations Modeling, Quantitative Biology, Data Driven Methods, Jump Distance Distribution, and C. elegans
Subject:: Applied mathematics
Creator:: Menssen, Rebecca
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_684514 and http://dissertations.umi.com/northwestern:14797

Description:: Organismal development depends upon countless cell decisions to adopt particular fates at the appropriate time and place. These decisions are executed by systems of biochemical reactions called regulatory networks. Elucidating the general principles underlying the structure and function of these networks is vital to understanding all developmental processes, as well...
Keyword:: Development, Quantitative Biology, Cell Decisions, Mosaic Analysis, Drosophila, and Metabolism
Subject:: Chemical engineering and Developmental biology
Creator:: Bernasek, Sebastian Michal
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_663067 and http://dissertations.umi.com/northwestern:14676

Keyword:: Clonal Analysis, Computer Vision, Mosaic Analysis, Drosophila, and Quantitative Biology
Creator:: Sebastian Bernasek and Amaral Lab
Owner:: Sebastian Bernasek
Date Uploaded:: 05/10/2019
Date Modified:: 11/03/2020
Resource Type:: Dataset

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