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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