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Multi-Scale, Multi-Class Agent-Based Models of Biological Systems

Description:

Biological systems comprise diverse collections of cellular and non-cellular components with intricate relationships and dynamic interactions. To gain system-level understanding, we must be able to accurately model these systems, both experimentally and computationally. Agent-based models (ABMs) in particular are a uniquely intuitive, modular, and flexible framework capable of supporting multi-scale,...

Keyword:

emergent behavior, systems biology, and agent-based modeling

Subject:

Biology, Chemical engineering, and Computer science

Creator:

Yu, Jessica

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

01/21/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_743010 and http://dissertations.umi.com/northwestern:15106
Discovering Regulatory Insights from Gene Expression Dynamics

Description:

Cells are complex, autonomous machines that integrate many environmental cues to execute a desired response. Though this property makes cells versatile, it presents significant design challenges when, to treat diseases, we must alter cellular responses. To understand changes to the complex regulatory pathways that cause diseases, studies often investigate the...

Keyword:

systems biology, machine learning, dynamics, regulation, and differential gene expression

Subject:

Bioinformatics and Biology

Creator:

Finkle, Justin

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14568 and etdadmin_upload_656753

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Multi-Scale, Multi-Class Agent-Based Models of Biological Systems

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