TS2B is a tool that embodies algorithms for learning Boolean networks from time-series data. The tool performs a two step process that first converts continues time-series data into a binary representation and then utilizes known inference algorithms to infer the Boolean network.

This work was made possible in part through support from a Seed Grant awarded to Luay Nakhleh from the Gulf Coast Center for Computational Cancer Research, funded by John and Ann Doerr Fund for Computational Biomedicine, as well as by Grant Number R01CA125109 from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.