Search results
- 1.0525171 - MBÚ 2020 RIV NL eng J - Journal Article
Alijagic, A. - Gaglio, D. - Napodano, E. - Russo, R. - Costa, C. - Benada, Oldřich - Kofroňová, Olga - Pinsino, A.
Titanium dioxide nanoparticles temporarily influence the sea urchin immunological state suppressing inflammatory-relate gene transcription and boosting antioxidant metabolic activity.
Journal of Hazardous Materials. Roč. 384, FEB 15 (2020), č. článku 121389. ISSN 0304-3894. E-ISSN 1873-3336
R&D Projects: GA MŠMT(CZ) LO1509
Institutional support: RVO:61388971
Keywords : Innate immunity * TiO2NP-responsive genes * Human gene networks
OECD category: Microbiology
Impact factor: 10.588, year: 2020
Method of publishing: Open access
https://d360prx.biomed.cas.cz:2291/science/article/pii/S0304389419313433?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0309372 - 2.0477168 - ÚTIA 2018 RIV US eng J - Journal Article
Djordjilović, V. - Chiogna, M. - Vomlel, Jiří
An empirical comparison of popular structure learning algorithms with a view to gene network inference.
International Journal of Approximate Reasoning. Roč. 88, č. 1 (2017), s. 602-613. ISSN 0888-613X. E-ISSN 1873-4731
R&D Projects: GA ČR(CZ) GA16-12010S
Institutional support: RVO:67985556
Keywords : Bayesian networks * Structure learning * Reverse engineering * Gene networks
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1.766, year: 2017
http://library.utia.cas.cz/separaty/2017/MTR/vomlel-0477168.pdf
Permanent Link: http://hdl.handle.net/11104/0273649 - 3.0450559 - ÚTIA 2016 RIV CZ eng C - Conference Paper (international conference)
Djordjilović, V. - Chiogna, M. - Vomlel, Jiří
An empirical comparison of popular algorithms for learning gene networks.
Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15. Praha: Oeconomica, 2015 - (Kratochvíl, V.), s. 61-72. ISBN 978-80-245-2102-2.
[WUPES 2015. Workshop on Uncertainty Processing /10./. Monínec (CZ), 16.09.2015-19.09.2015]
Institutional support: RVO:67985556
Keywords : Bayesian networks * Gene networks * Biological pathways
Subject RIV: IN - Informatics, Computer Science
http://library.utia.cas.cz/separaty/2015/MTR/vomlel-0450559.pdf
Permanent Link: http://hdl.handle.net/11104/0252671