From 58d446caf070f9c47b09aee8e76d9058f912acf3 Mon Sep 17 00:00:00 2001 From: Sergiu Ivanov Date: Fri, 27 Aug 2021 14:18:14 +0200 Subject: [PATCH] Add the biorXiv submission with Nico. --- bib/sivanov-extra.bib | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/bib/sivanov-extra.bib b/bib/sivanov-extra.bib index 1992389..e151aa3 100644 --- a/bib/sivanov-extra.bib +++ b/bib/sivanov-extra.bib @@ -1,3 +1,16 @@ +@article {Segretain2020.10.02.323949, + author = {Segretain, R{\'e}mi and Ivanov, Sergiu and Trilling, Laurent and Glade, Nicolas}, + title = {Implementation of a Computing Pipeline for Evaluating the Extensibility of Boolean Networks{\textquoteright} Structure and Function}, + elocation-id = {2020.10.02.323949}, + year = {2020}, + doi = {10.1101/2020.10.02.323949}, + publisher = {Cold Spring Harbor Laboratory}, + abstract = {Formal interaction networks are well suited for representing complex biological systems and have been used to model signalling pathways, gene regulatory networks, interaction within ecosystems, etc. In this paper, we introduce Sign Boolean Networks (SBNs), which are a uniform variant of Threshold Boolean Networks (TBFs). We continue the study of the complexity of SBNs and build a new framework for evaluating their ability to extend, i.e. the potential to gain new functions by addition of nodes, while also maintaining the original functions. We describe our software implementation of this framework and show some first results. These results seem to confirm the conjecture that networks of moderate complexity are the most able to grow, because they are not too simple, but also not too constrained, like the highly complex ones. Biological Regulation, Biological Networks, Sign Boolean Networks, Complexity, Extensibility, Network GrowthCompeting Interest StatementThe authors have declared no competing interest.}, + URL = {https://www.biorxiv.org/content/early/2020/10/05/2020.10.02.323949}, + eprint = {https://www.biorxiv.org/content/early/2020/10/05/2020.10.02.323949.full.pdf}, + journal = {bioRxiv} +} + @article{C:AB20, author = {Urvan Christen and Sergiu Ivanov and