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Machine Learning methods in metabolomics data analysis
Kutuzova, Svetlana
(PhD Student)
McCloskey, Douglas
(Main Supervisor)
Sonnenschein, Nikolaus
(Supervisor)
Nielsen, Mads
(Supervisor)
Rogers, Simon
(Examiner)
Steinbeck, Christoph
(Examiner)
McCloskey, Douglas
(Main Supervisor)
Sonnenschein, Nikolaus
(Supervisor)
Nielsen, Mads
(Supervisor)
Schmidt, Mikkel Nørgaard
(Examiner)
Autoflow
Novo Nordisk Foundation Center for Biosustainability
DTU Microbes Initiative
Section for Synthetic Biology
Analytics
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/08/2018
→
08/04/2022
Funding
EU-finansieret
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Mass Spectra
Keyphrases
100%
Machine Learning Techniques
Keyphrases
100%
Genome Analysis
Keyphrases
100%
Mass Spectrometry
Chemistry
100%
Deep Learning Model
Keyphrases
66%
Mass Spectrometry Analysis
Keyphrases
66%
Life Sciences
Keyphrases
66%
Novel Algorithm
Keyphrases
66%
Research output
Research output per year
2022
2022
2022
1
Ph.D. thesis
Research output per year
Research output per year
Machine learning methods for metabolomics data analysis
Kutuzova, S.,
2022
,
164 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Genome Analysis
100%
Mass Spectra
100%
Machine Learning Techniques
100%
Mass Spectrometry
100%
Metabolomics
100%
512
Downloads (Orbit)