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BayesPI: a new biophysical model for studying protein-DNA interaction

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05 Aug 2010 (Updated )

Using Bayesian model regularization with biophysical modeling to study protein-DNA interaction.

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To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided hyperparameter (regularization constants of the model) into multiple distinct classes based on either the structure of the neural networks or the property of the weights. The newly implemented BayesPI was tested on both synthetic and real ChIP-based high-throughput datasets to identify the corresponding protein binding energy matrices
 

Required Products MATLAB Compiler
MATLAB release MATLAB 6.0 (R12)
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Comments and Ratings (1)
07 Jul 2014 OMID

nice...

Updates
11 Aug 2011

Few bugs in the matlab code are fixed now.

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