Improving scoring functions for protein docking by machine learning and learning data:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Oktober 2015
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| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Beschreibung: | 1 Online-Ressource (54 Seiten) Illustrationen, Diagramme |
Internformat
MARC
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| 245 | 1 | 0 | |a Improving scoring functions for protein docking by machine learning and learning data |c vorgelegt von Florian Krull |
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Datensatz im Suchindex
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| author_facet | Krull, Florian |
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| format | Thesis Electronic eBook |
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| language | English |
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| spelling | Krull, Florian Verfasser aut Improving scoring functions for protein docking by machine learning and learning data vorgelegt von Florian Krull Berlin Oktober 2015 1 Online-Ressource (54 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Freie Universität Berlin 2016 Protein-Protein-Wechselwirkung (DE-588)4745193-2 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Konfiguration Chemie (DE-588)4129572-9 gnd rswk-swf Docking Chemie (DE-588)1059654555 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Protein-Protein-Wechselwirkung (DE-588)4745193-2 s Konfiguration Chemie (DE-588)4129572-9 s Docking Chemie (DE-588)1059654555 s Maschinelles Lernen (DE-588)4193754-5 s DE-188 Erscheint auch als Druck-Ausgabe Krull, Florian Improving scoring functions for protein docking by machine learning and learning data (DE-604)BV043379318 http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000101356 Resolving-System kostenfrei Volltext |
| spellingShingle | Krull, Florian Improving scoring functions for protein docking by machine learning and learning data Protein-Protein-Wechselwirkung (DE-588)4745193-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Konfiguration Chemie (DE-588)4129572-9 gnd Docking Chemie (DE-588)1059654555 gnd |
| subject_GND | (DE-588)4745193-2 (DE-588)4193754-5 (DE-588)4129572-9 (DE-588)1059654555 (DE-588)4113937-9 |
| title | Improving scoring functions for protein docking by machine learning and learning data |
| title_auth | Improving scoring functions for protein docking by machine learning and learning data |
| title_exact_search | Improving scoring functions for protein docking by machine learning and learning data |
| title_full | Improving scoring functions for protein docking by machine learning and learning data vorgelegt von Florian Krull |
| title_fullStr | Improving scoring functions for protein docking by machine learning and learning data vorgelegt von Florian Krull |
| title_full_unstemmed | Improving scoring functions for protein docking by machine learning and learning data vorgelegt von Florian Krull |
| title_short | Improving scoring functions for protein docking by machine learning and learning data |
| title_sort | improving scoring functions for protein docking by machine learning and learning data |
| topic | Protein-Protein-Wechselwirkung (DE-588)4745193-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Konfiguration Chemie (DE-588)4129572-9 gnd Docking Chemie (DE-588)1059654555 gnd |
| topic_facet | Protein-Protein-Wechselwirkung Maschinelles Lernen Konfiguration Chemie Docking Chemie Hochschulschrift |
| url | http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000101356 |
| work_keys_str_mv | AT krullflorian improvingscoringfunctionsforproteindockingbymachinelearningandlearningdata |