Presenter Information

Devon Cormack, Colby CollegeFollow

Location

Diamond 344

Start Date

1-5-2014 3:00 PM

End Date

1-5-2014 4:00 PM

Project Type

Presentation

Description

The work that I will be presenting demonstrates that through observation of the circadian dynamics of the suprachiasmatic nucleus (SCN), you can infer the network connectivity between cells in the SCN for simple network structures. Circadian pacemakers and damped oscillators will be discussed with reference to their importance in the resynchronization of the circadian system and how the resynchronization process can be used to infer network connectivity. Connectivity inference will be discussed for both biological and simulated systems. Inference methods were developed, tested and evaluated through model simulation in MATLAB.

Faculty Sponsor

Paul Greenwood

Sponsoring Department

Colby College. Computer Science Dept.

CLAS Field of Study

Natural Sciences

Event Website

http://www.colby.edu/clas

ID

690

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May 1st, 3:00 PM May 1st, 4:00 PM

Computational Inference of Biological Networks Using Circadian Signals

Diamond 344

The work that I will be presenting demonstrates that through observation of the circadian dynamics of the suprachiasmatic nucleus (SCN), you can infer the network connectivity between cells in the SCN for simple network structures. Circadian pacemakers and damped oscillators will be discussed with reference to their importance in the resynchronization of the circadian system and how the resynchronization process can be used to infer network connectivity. Connectivity inference will be discussed for both biological and simulated systems. Inference methods were developed, tested and evaluated through model simulation in MATLAB.

http://digitalcommons.colby.edu/clas/2014/program/114