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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Bibliographic Details

Main Author:	Spänig, Sebastian
Contributors:	Heider, Dominik (Prof. Dr.) (Thesis advisor)
Format:	Doctoral Thesis
Language:	English
Published:	Philipps-Universität Marburg 2022
Subjects:	Maschinelles Lernen Data Science Biomedizin Informatik Antimikrobielle Peptide Biomedicine Antimikrobielle Resistenz Machine Learning Antimicrobial Peptides Antimicrobial Resistance Datenwissenschaft Bioinformatik Bioinformatics Data processing Computer science
Online Access:	PDF Full Text
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