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Researcher
Annelies AGTEN
- Keywords:Mathematics
- Disciplines:Statistics, Data visualisation and high-throughput image analysis
Affiliations
- Data Science Institute (Research institute)
Member
From1 Jun 2019 → Today - Centre for Statistics (Research group)
Member
From16 Sep 2017 → Today - Mathematics and statistics (Department)
Member
From16 Sep 2017 → Today - Faculty of Sciences (Faculty)
Member
From16 Sep 2017 → Today - Research Institute Center for Statistics (Research institute)
Member
From16 Sep 2017 → 31 May 2019
Publications
1 - 6 of 6
- Advanced data analytics for high-dimensional mass spectrometry and high-resolution digital pathology(2023)
Authors: Annelies AGTEN, Dirk VALKENBORG
Number of pages: 309 - Machine learning approach for the prediction of the number of sulphur atoms in peptides using the theoretical aggregated isotope distribution(2023)
Authors: Annelies AGTEN, Jurgen CLAESEN, Tomasz BURZYKOWSKI, Dirk VALKENBORG
- Measures of spatial heterogeneity in the liver tissue micro-environment as predictive factors for fibrosis score(2023)
Authors: Annelies AGTEN, Alfonso Blazquez-Moreno, Marjolein Crabbe, Marianne Tuefferd, Hinrich Goehlmann, Helena GEYS, Cheng-Yuan Peng, Jari CLAES, Thomas NEYENS, Christel FAES
- A Compositional Model to Predict the Aggregated Isotope Distribution for Average DNA and RNA Oligonucleotides(2021)
Authors: Annelies AGTEN, Piotr PROSTKO, Melvin GEUBBELMANS, Thomas De Vijlder, Dirk VALKENBORG, Youzhong Liu
- Visualizing the agreement of peptide assignments between different search engines(2020)
Authors: Annelies AGTEN, Joris VAN HOUTVEN, M Askenazi, Tomasz BURZYKOWSKI, K Laukens, Dirk VALKENBORG
- QCQuan: a web tool for the automated assessment of protein expression and data quality of labeled mass spectrometry experiments.(2019)
Authors: Joris VAN HOUTVEN, Annelies AGTEN, Kurt Boonen, Geert Baggerman, Jef HOOYBERGHS, Kris Laukens, Dirk VALKENBORG
Pages: 2221 - 2227