Mathematical modeling of signaling network response
2014
University of Michigan, Ann Arbor, USA
Modelling signalling networks dynamics is still a challenging task. In this study, a mathematical model is used to predict the dynamics of signalling networks response under unseen perturbations. This algorithm is based on three steps and is validated against simulation and experimental data. Additionally, when compared with other available methods, the computational time is reduced by magnitudes, what potentially will allow the genome-wide modelling of signalling pathways in practical times.
Predicting dynamic signaling network response under unseen perturbations
Yuanfang Guan
Added on: 07-18-2021
[1] https://academic.oup.com/bioinformatics/article/30/19/2772/2422216[2] https://data.jrc.ec.europa.eu/dataset/ffebe454-ed9a-47cf-8a33-8cf70c1b7d38
