2015
Fourth International Workshop on Hybrid Systems Biology
ABATE, Alessandro a David ŠAFRÁNEKZákladní údaje
Originální název
Fourth International Workshop on Hybrid Systems Biology
Autoři
ABATE, Alessandro a David ŠAFRÁNEK
Vydání
2015
Další údaje
Jazyk
angličtina
Typ výsledku
Uspořádání workshopu
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14330/15:00081136
Organizační jednotka
Fakulta informatiky
Klíčová slova anglicky
hybrid systems; systems biology; formal methods
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 6. 4. 2016 14:23, doc. RNDr. David Šafránek, Ph.D.
Anotace
V originále
The 4th International Workshop on Hybrid Systems Biology (HSB 2015) was held on September 4th and 5th, 2015 at the Facultad de Matematicas, at the Universidad Complutense de Madrid. HSB 2015 was co-located within the week-long Madrid Meet 2015, which hosted also CONCUR 2015, QEST 2015, FORMATS 2015, among other scientic events. Previous editions of the HSB Workshops were held in Newcastle upon Tyne (UK, with CONCUR 2012), Taormina (IT, within ECAL 2013), and Vienna (AT, within VSL 2014). The scope of the HSB 2015 workshop has broadened since the earlier editions, and now covers the general area of dynamical models in Biology. HSB 2015 has retained the emphasis on hybrid approaches { by no means restricted to a narrow class of mathematical models { and has in particular stressed the importance of taking advantage of techniques developed separately in dierent areas. Topics featured in the workshop have included models of metabolic, signalling, and genetic regulatory networks; models of tissues; biological applications of quantitative and formal analysis techniques; parametric and non-parametric system identication techniques; ecient techniques for combined and heterogeneous simulations of biological models; modelling languages for biological systems; models coping with incomplete and uncertain biological information; stochastic and hybrid models in biology; hierarchical approaches for multi-scale, multi-domain analysis; abstraction, approximation, discretisation, and model reduction techniques; control architectures in biological systems; and modelling and synthesis for synthetic biology.
Návaznosti
| GA15-11089S, projekt VaV |
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