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Filtering by: Keyword Data Driven Methods Subject Applied mathematics

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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

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