File Exchange

image thumbnail

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

version (1.96 MB) by junbai wang
Using Bayesian model regularization with biophysical modeling to study protein-DNA interaction.


Updated 28 Aug 2014

View License

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

Comments and Ratings (1)


OMID (view profile)



add citation

Few bugs in the matlab code are fixed now.

MATLAB Release Compatibility
Created with R12
Compatible with any release
Platform Compatibility
Windows macOS Linux

MATLAB Online Live Editor Challenge

View the winning live scripts from faculty and students who participated in the recent challenge.

Learn more

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video