Discovery and analysis of biochemical subnetwork hierarchies
Molecular Networks
2007-05-23 v2 Disordered Systems and Neural Networks
Abstract
The representation of a biochemical network as a graph is the coarsest level of description in cellular biochemistry. By studying the network structure one can draw conclusions on the large scale organisation of the biochemical processes. We describe methods how one can extract hierarchies of subnetworks, how these can be interpreted and further deconstructed to find autonomous subnetworks. The large-scale organisation we find is characterised by a tightly connected core surrounded by increasingly loosely connected substrates.
Keywords
Cite
@article{arxiv.q-bio/0309011,
title = {Discovery and analysis of biochemical subnetwork hierarchies},
author = {Petter Holme and Mikael Huss},
journal= {arXiv preprint arXiv:q-bio/0309011},
year = {2007}
}
Comments
submitted to Proceedings of the third workshop on computation of biochemical pathways and genetic networks