Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology:
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Format: | Abschlussarbeit Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Erlangen ; Nürnberg
2020
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Schlagworte: | |
Online-Zugang: | Volltext Volltext Volltext |
Beschreibung: | 1 Online-Ressource (152 Seiten) Illustrationen, Diagramme |
Internformat
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spelling | Cantone, Martina (DE-588)1221970852 aut Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology vorgelegt von Martina Cantone Rechnergestützte Methoden zur Analyse und Simulation von regulatorischen Netzwerken im Hochdurchsatz in der Neurobiologie Erlangen ; Nürnberg 2020 1 Online-Ressource (152 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2020 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Oligodendrocyt (DE-588)4309981-6 gnd rswk-swf Myelogenese (DE-588)4170922-6 gnd rswk-swf Neurobiologie (DE-588)4041871-6 gnd rswk-swf 3\p Neurobiology (DE-588)4113937-9 Hochschulschrift gnd-content Neurobiologie (DE-588)4041871-6 s Oligodendrocyt (DE-588)4309981-6 s Myelogenese (DE-588)4170922-6 s DE-604 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-149054 Resolving-System kostenfrei Volltext https://d-nb.info/1221803786/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/14905 Verlag kostenfrei Volltext 1\p aepkn 0,91386 20201121 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99972 20201121 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p aeplcsh 0,02857 20201121 DE-101 https://d-nb.info/provenance/plan#aeplcsh (DLC)sh85091114 http://id.loc.gov/authorities/subjects/sh85091114 lcsh |
spellingShingle | Cantone, Martina Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology Oligodendrocyt (DE-588)4309981-6 gnd Myelogenese (DE-588)4170922-6 gnd Neurobiologie (DE-588)4041871-6 gnd 3\p Neurobiology |
subject_GND | (DE-588)4309981-6 (DE-588)4170922-6 (DE-588)4041871-6 (DE-588)4113937-9 |
title | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology |
title_alt | Rechnergestützte Methoden zur Analyse und Simulation von regulatorischen Netzwerken im Hochdurchsatz in der Neurobiologie |
title_auth | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology |
title_exact_search | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology |
title_exact_search_txtP | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology |
title_full | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology vorgelegt von Martina Cantone |
title_fullStr | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology vorgelegt von Martina Cantone |
title_full_unstemmed | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology vorgelegt von Martina Cantone |
title_short | Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology |
title_sort | computational methods for analysis and simulations of high throughput scale regulatory networks in neurobiology |
topic | Oligodendrocyt (DE-588)4309981-6 gnd Myelogenese (DE-588)4170922-6 gnd Neurobiologie (DE-588)4041871-6 gnd 3\p Neurobiology |
topic_facet | Oligodendrocyt Myelogenese Neurobiologie Neurobiology Hochschulschrift |
url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-149054 https://d-nb.info/1221803786/34 https://open.fau.de/handle/openfau/14905 |
work_keys_str_mv | AT cantonemartina computationalmethodsforanalysisandsimulationsofhighthroughputscaleregulatorynetworksinneurobiology AT cantonemartina rechnergestutztemethodenzuranalyseundsimulationvonregulatorischennetzwerkenimhochdurchsatzinderneurobiologie |