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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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
Biomedizin
Informatik
Antimikrobielle Peptide
Data Science
Antimikrobielle Resistenz
Antimicrobial Peptides
Antimicrobial Resistance
Biomedicine
Bioinformatics
Datenwissenschaft
Bioinformatik
Machine Learning
Data processing Computer science
Online Access:PDF Full Text
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