Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Nikolaj Zimic"'
Publikováno v:
Heliyon, Vol 8, Iss 8, Pp e10222- (2022)
Boolean descriptions of gene regulatory networks can provide an insight into interactions between genes. Boolean networks hold predictive power, are easy to understand, and can be used to simulate the observed networks in different scenarios.We revie
Externí odkaz:
https://doaj.org/article/2fb956673d7f4640b441cf37841f7bac
Publikováno v:
Journal of Biological Engineering, Vol 13, Iss 1, Pp 1-21 (2019)
Abstract Background Gene regulatory networks with different topological and/or dynamical properties might exhibit similar behavior. System that is less perceptive for the perturbations of its internal and external factors should be preferred. Methods
Externí odkaz:
https://doaj.org/article/0e3903343de046dfa3e476549bebb3c2
Initial state perturbations as a validation method for data-driven fuzzy models of cellular networks
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-7 (2018)
Abstract Background Data-driven methods that automatically learn relations between attributes from given data are a popular tool for building mathematical models in computational biology. Since measurements are prone to errors, approaches dealing wit
Externí odkaz:
https://doaj.org/article/140fffee6246401eacf42995c7c9f013
Publikováno v:
Journal of Biological Engineering, Vol 13, Iss 1, Pp 1-1 (2019)
The original version of this article [1] unfortunately included a typographical error to author Žiga Pušnik’s name.
Externí odkaz:
https://doaj.org/article/96ef1cb1e8df4142b0ab222974fd547e
Publikováno v:
Biosystems, vol. 221, no. 104778, 2022.
Basic synthetic information processing structures, such as logic gates, oscillators and flip-flops, have already been implemented in living organisms. Current implementations of these structures are, however, hardly scalable and are yet to be extende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d6194db95d758cd0492e9e1e72c62c
https://hdl.handle.net/20.500.12556/RUL-140526
https://hdl.handle.net/20.500.12556/RUL-140526
Publikováno v:
Neural Computing and Applications. 33:8923-8938
Ever since its foundational years, synthetic biology has been focused on the implementation of biological computing structures. In the beginning, engineered biological computation has mainly been based on uncoupled monoclonal cellular populations. Im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::384bea7dc5d1e85dbac2fd1890422c8c
https://doi.org/10.1007/s00521-021-05711-6
https://doi.org/10.1007/s00521-021-05711-6
Publikováno v:
Computers in biology and medicine, vol. 145, no. 105428, 2022.
COVID-19 presents a complex disease that needs to be addressed using systems medicine approaches that include genome-scale metabolic models (GEMs). Previous studies have used a single model extraction method (MEM) and/or a single transcriptomic datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35f73af06787e5248db1f2e8211ae500
https://pubmed.ncbi.nlm.nih.gov/35339845
https://pubmed.ncbi.nlm.nih.gov/35339845
Publikováno v:
Journal of Biological Engineering, Vol 13, Iss 1, Pp 1-21 (2019)
Journal of Biological Engineering
Journal of Biological Engineering
BackgroundGene regulatory networks with different topological and/or dynamical properties might exhibit similar behavior. System that is less perceptive for the perturbations of its internal and external factors should be preferred. Methods for sensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c217acdb74c3a2f5c231c85af5d9690
http://link.springer.com/article/10.1186/s13036-019-0205-0
http://link.springer.com/article/10.1186/s13036-019-0205-0
Publikováno v:
Computers in biology and medicine. 128
Synthetic biology applications often require engineered computing structures, which can be programmed to process the information in a given way. However, programming of these structures usually requires significant amount of trial-and-error genetic e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3395b6beeafe42257e28982ad1799c77
https://pubmed.ncbi.nlm.nih.gov/33221638
https://pubmed.ncbi.nlm.nih.gov/33221638
Publikováno v:
Journal of Computational Biology. 25:505-508
Genome-scale metabolic models (GEMs) have become a powerful tool for the investigation of the entire metabolism of the organism in silico. These models are, however, often extremely hard to reconstruct and also difficult to apply to the selected prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b1e63284aaea98d21eff99420769ff4
https://doi.org/10.1089/cmb.2017.0209
https://doi.org/10.1089/cmb.2017.0209