plat

A Pathway Learning and Analysis Tool using probabilistic approximation techniques

View the Project on GitHub liubing1020/plat

PLAT

A Pathway Learning and Analysis Tool using probabilistic approximation techniques

About

PLAT can analyze the dynamics of biological pathway models using dynamic Bayesian networks (DBN) based approximation techniques. It supports System Biology Mark-up Language (SBML) format and has a GPU-based implementation for high-performance computing.

Citation

B Liu, A Hagiescu, S K Palaniappan, B Chattopadhyay, Z Cui, W F Wong, P S Thiagarajan. Approximate Probabilistic Analysis of Biopathway Dynamics. Bioinformatics, 28(11):1508-1516 (2012).

Funding

Partial support from the NIH awards P41 GM103712 and P30 DA035778 is gratefully acknowledged.