A Pathway Learning and Analysis Tool using probabilistic approximation techniques
A Pathway Learning and Analysis Tool using probabilistic approximation techniques
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.
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).
Partial support from the NIH awards P41 GM103712 and P30 DA035778 is gratefully acknowledged.