SGD-RJ – Stochastic Gradient Descent based on Reversible jump MCMC

SGD-RJ

:: DESCRIPTION

SGD is a software for parameter inference in discretely observed stochastic kinetic models

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::DEVELOPER

CBCL Lab (Computational Biology and Computational Learning) @ UCI

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • MatLab

:: DOWNLOAD

 SGD-RJ

:: MORE INFORMATION

Citation:

Yuanfeng Wang, Scott Christley, Eric Mjolsness and Xiaohui Xie,
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent
BMC Systems Biology 2010, 4:99 doi:10.1186/1752-0509-4-99.

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