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