Estimating hidden influences in metabolic and gene regulatory networks
Author(s):
Blöchl, F.; Theis, F. J.
Pages contribution:
387-394
Abstract:
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory networks. In simple processes obeying mass action kinetics, we find the emergence of linear mixture models. More complex situations as well as hidden influences in regulatory systems with sigmoidal input functions however lead to new classes of BSS problems.