An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis (Englisch)
Freier Zugriff
- Neue Suche nach: Zabeti, Hooman
- Neue Suche nach: Dexter, Nick
- Neue Suche nach: Safari, Amir Hosein
- Neue Suche nach: Sedaghat, Nafiseh
- Neue Suche nach: Libbrecht, Maxwell
- Neue Suche nach: Chindelevitch, Leonid
- Neue Suche nach: Zabeti, Hooman
- Neue Suche nach: Dexter, Nick
- Neue Suche nach: Safari, Amir Hosein
- Neue Suche nach: Sedaghat, Nafiseh
- Neue Suche nach: Libbrecht, Maxwell
- Neue Suche nach: Chindelevitch, Leonid
- Neue Suche nach: Kingsford, Carl
- Weitere Informationen zu Kingsford, Carl:
- https://orcid.org/0000-0002-0118-5516
- Neue Suche nach: Pisanti, Nadia
- Weitere Informationen zu Pisanti, Nadia:
- https://orcid.org/0000-0003-3915-7665
In:
LIPIcs, Volume 172, WABI 2020
: 20th International Workshop on Algorithms in Bioinformatics (WABI 2020)
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172
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2:1-2:18
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2020
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ISBN:
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ISSN:
- Aufsatz (Konferenz) / Elektronische Ressource
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Titel:An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis
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Beteiligte:Zabeti, Hooman ( Autor:in ) / Dexter, Nick ( Autor:in ) / Safari, Amir Hosein ( Autor:in ) / Sedaghat, Nafiseh ( Autor:in ) / Libbrecht, Maxwell ( Autor:in ) / Chindelevitch, Leonid ( Autor:in ) / Kingsford, Carl ( Herausgeber:in ) / Pisanti, Nadia ( Herausgeber:in )
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Erschienen in:LIPIcs, Volume 172, WABI 2020 : 20th International Workshop on Algorithms in Bioinformatics (WABI 2020) ; 172 ; 2:1-2:18Leibniz International Proceedings in Informatics (LIPIcs) ; 172 ; 2:1-2:18
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Verlag:
- Neue Suche nach: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
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Erscheinungsdatum:25.08.2020
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Format / Umfang:18 pages , 587482 byte
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Anmerkungen:LIPIcs, Vol. 172, 20th International Workshop on Algorithms in Bioinformatics (WABI 2020), pages 2:1-2:18
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz (Konferenz)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Lizenzbestimmungen:
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Datenquelle:
Inhaltsverzeichnis Konferenzband
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
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An Interpretable Classification Method for Predicting Drug Resistance in M. TuberculosisZabeti, Hooman / Dexter, Nick / Safari, Amir Hosein / Sedaghat, Nafiseh / Libbrecht, Maxwell / Chindelevitch, Leonid et al. | 2020
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