Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ajay Subbaroyan"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Boolean networks (BNs) have been extensively used to model gene regulatory networks (GRNs). The dynamics of BNs depend on the network architecture and regulatory logic rules (Boolean functions (BFs)) associated with nodes. Nested canalyzing
Externí odkaz:
https://doaj.org/article/0a24cd323aee4ac4a9e8c7b6c7b97290
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Boolean networks have been widely used to model gene networks. However, such models are coarse-grained to an extent that they abstract away molecular specificities of gene regulation. Alternatively, bipartite Boolean network models of gene r
Externí odkaz:
https://doaj.org/article/18a2ae74fd5741f591b74587b298eacb
Boolean models are a well-established framework to model developmental gene regulatory networks (DGRN) for acquisition of cellular identity. During the reconstruction of Boolean DGRNs, even if the networkstructureis given, there is generally a very l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2335ad5baa00c321eb6b6695587202b5
https://doi.org/10.1101/2023.01.08.523151
https://doi.org/10.1101/2023.01.08.523151
Boolean network models have widely been used to study the dynamics of gene regulatory networks. However, such models are coarse-grained to an extent that they abstract away molecular specificities of gene regulation. In contrast, bipartite Boolean ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8ce2c5aba85ae4bcd826aa730f4f1fa
https://doi.org/10.1101/2022.05.07.491027
https://doi.org/10.1101/2022.05.07.491027
Publikováno v:
Journal of Biosciences. 47
Boolean modelling is a powerful framework to understand the operating principles of biological networks. The regulatory logic between biological entities in these networks is expressed as Boolean functions (BFs). There exist various types of BFs (and
Publikováno v:
PNAS Nexus. 1
The properties of random Boolean networks have been investigated extensively as models of regulation in biological systems. However, the Boolean functions (BFs) specifying the associated logical update rules should not be expected to be random. In th
The properties of random Boolean networks as models of gene regulation have been investigated extensively by the statistical physics community. In the past two decades, there has been a dramatic increase in the reconstruction and analysis of Boolean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a1e921880cc6673f0dcb43521ee6d14
https://doi.org/10.1101/2021.09.20.461164
https://doi.org/10.1101/2021.09.20.461164
Autor:
Sil, Priyotosh1,2 (AUTHOR), Subbaroyan, Ajay1,2 (AUTHOR), Kulkarni, Saumitra1 (AUTHOR), Martin, Olivier C3,4 (AUTHOR) olivier.c.martin@inrae.fr, Samal, Areejit1,2 (AUTHOR) olivier.c.martin@inrae.fr
Publikováno v:
Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-14. 14p.
Autor:
Subbaroyan, Ajay1,2 (AUTHOR), Sil, Priyotosh1,2 (AUTHOR), Martin, Olivier C3,4 (AUTHOR) olivier.c.martin@inrae.fr, Samal, Areejit1,2 (AUTHOR) olivier.c.martin@inrae.fr
Publikováno v:
Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-10. 10p.
Autor:
Yadav, Yasharth1 (AUTHOR), Subbaroyan, Ajay1,2 (AUTHOR), Martin, Olivier C.3,4 (AUTHOR) olivier.c.martin@inrae.fr, Samal, Areejit1,2 (AUTHOR) asamal@imsc.res.in
Publikováno v:
Scientific Reports. 10/28/2022, Vol. 12 Issue 1, p1-16. 16p.