A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Integrating a priori knowledge in automatic network reconstruction
Applications and Theory of Petri Nets
The reconstruction of models from experimental data is a challenging problem due to the inherited complexity of biological systems. We developed an exact, exclusively data-driven approach to reconstruct Petri nets from experimental time-series data. Our approach aims at reconstructing all such netwoks that fit the given experimental data, to provide all possible alternatives of mechanisms behind the experimental observations, which typically results in a large set of solution alternatives. Todblp:conf/apn/FavreMW14 fatcat:eu7vg7hsf5fvbbwvl7ouf7hiya