Integration of Multi-Omic Datasets on Antimicrobial Resistance for Large-Scale Biomedical Data Science

Integration of Multi-Omic Datasets on Antimicrobial Resistance for Large-Scale Biomedical Data Science

Antimicrobial resistance (AMR) results in tremendous health risks, causing the World Health Organization to designate it as one of the significant burdens for modern society. Owing to ineffective antibiotics, once everyday surgeries will become life-threatening interventions. Rigorous governmental m...

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Autor principal: Spänig, Sebastian
Altres autors: Heider, Dominik (Prof. Dr.) (Assessor de tesis)
Format: Dissertation
Idioma:anglès
Publicat: Philipps-Universität Marburg 2022
Matèries:
Maschinelles Lernen
Biomedizin
Informatik
Antimikrobielle Peptide
Data Science
Antimikrobielle Resistenz
Antimicrobial Peptides
Antimicrobial Resistance
Biomedicine
Bioinformatics
Datenwissenschaft
Bioinformatik
Machine Learning
Data processing Computer science
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Signatura: urn:nbn:de:hebis:04-z2022-02195
Data de publicació: 2022-07-04
Datum der Annahme: 2022-06-14
Downloads: 94 (2024), 119 (2023), 69 (2022)
Lizenz: https://rightsstatements.org/vocab/InC-NC/1.0/
URL d'accés: https://archiv.ub.uni-marburg.de/diss/z2022/0219
https://doi.org/10.17192/z2022.0219

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