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Quantitative and predictive analyses of adenovirus egress from infected cells based on live cell imaging and machine learning


Andriasyan, Vardan. Quantitative and predictive analyses of adenovirus egress from infected cells based on live cell imaging and machine learning. 2018, University of Zurich, Faculty of Science.

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Item Type:Dissertation (monographical)
Referees:Greber Urs F, Brunner Damian, Sbalzarini Ivo F, Ziegler Urs, Yakimovich Artur
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
UZH Dissertations
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Place of Publication:Zürich
Date:2018
Deposited On:19 Feb 2019 10:54
Last Modified:19 Feb 2019 10:55
Number of Pages:101
Additional Information:Die CD-ROM enthält den vollständigen Text der Dissertation
OA Status:Closed
Related URLs:https://www.recherche-portal.ch/primo-explore/fulldisplay?docid=ebi01_prod011197745&context=L&vid=ZAD&search_scope=default_scope&tab=default_tab&lang=de_DE (Library Catalogue)

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