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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Bibliografiska uppgifter

Huvudskapare:	Spänig, Sebastian
Övriga skapare:	Heider, Dominik (Prof. Dr.) (BetreuerIn (Doktorarbeit))
Materialtyp:	Dissertation
Språk:	engelska
Publicerad:	Philipps-Universität Marburg 2022
Ämnen:	Maschinelles Lernen Biomedizin Informatik Antimicrobial Peptides Antimikrobielle Peptide Antimikrobielle Resistenz Bioinformatics Antimicrobial Resistance Machine Learning Data Science Datenwissenschaft Bioinformatik Biomedicine Data processing Computer science
Länkar:	PDF-fulltext
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