Stochastic modeling 
Stochastic modeling
by MIT
Video Lecture 10 of 24
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Date Added: April 23, 2016

Lecture Description

Prof. Jeff Gore discusses modeling stochastic systems. The discussion of the master equation continues. Then he talks about the Gillespie algorithm, an exact way to simulate stochastic systems. He then moves on to the Fokker-Planck equation.

License: Creative Commons BY-NC-SA
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Course Description

This course presented by Prof. Jeff Gore provides an introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics. Cellular systems include genetic switches and oscillators, network motifs, genetic network evolution, and cellular decision-making. Population-level systems include models of pattern formation, cell-cell communication, and evolutionary systems biology.

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