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Annelies Agten

Showing results (1-10 of 8) with videos related to

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Rapid Communications in Mass Spectrometry : RCM|February 17, 2023
Machine learning approach for the prediction of the number of sulphur atoms in peptides using the theoretical aggregated isotope distributionAnnelies Agten, Jurgen Claesen, Tomasz Burzykowski, et al.
Proteomics|December 3, 2023
A compositional data model to predict the isotope distribution for average peptides using a compositional spline modelAnnelies Agten, Frédérique Vilenne, Piotr Prostko, et al.
Analytical Chemistry|August 27, 2024
CPred: Charge State Prediction for Modified and Unmodified Peptides in Electrospray IonizationFrédérique Vilenne, Annelies Agten, Simon Appeltans, et al.
Metabolites|July 2, 2021
A Compositional Model to Predict the Aggregated Isotope Distribution for Average DNA and RNA OligonucleotidesAnnelies Agten, Piotr Prostko, Melvin Geubbelmans, et al.
Journal of Mass Spectrometry : JMS|November 13, 2019
Visualizing the agreement of peptide assignments between different search enginesAnnelies Agten, Joris Van Houtven, Manor Askenazi, et al.
Journal of Proteome Research|April 4, 2019
QCQuan: A Web Tool for the Automated Assessment of Protein Expression and Data Quality of Labeled Mass Spectrometry ExperimentsJoris Van Houtven, Annelies Agten, Kurt Boonen, et al.
Computers in Biology and Medicine|February 29, 2024
The influence of resolution on the predictive power of spatial heterogeneity measures as biomarkers of liver fibrosisJari Claes, Annelies Agten, Alfonso Blázquez-Moreno, et al.
Computers in Biology and Medicine|August 27, 2023
Measures of spatial heterogeneity in the liver tissue micro-environment as predictive factors for fibrosis scoreAnnelies Agten, Alfonso Blázquez-Moreno, Marjolein Crabbe, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Rapid Communications in Mass Spectrometry : RCM|February 17, 2023
Machine learning approach for the prediction of the number of sulphur atoms in peptides using the theoretical aggregated isotope distributionAnnelies Agten, Jurgen Claesen, Tomasz Burzykowski, et al.
Proteomics|December 3, 2023
A compositional data model to predict the isotope distribution for average peptides using a compositional spline modelAnnelies Agten, Frédérique Vilenne, Piotr Prostko, et al.
Analytical Chemistry|August 27, 2024
CPred: Charge State Prediction for Modified and Unmodified Peptides in Electrospray IonizationFrédérique Vilenne, Annelies Agten, Simon Appeltans, et al.
Metabolites|July 2, 2021
A Compositional Model to Predict the Aggregated Isotope Distribution for Average DNA and RNA OligonucleotidesAnnelies Agten, Piotr Prostko, Melvin Geubbelmans, et al.
Journal of Mass Spectrometry : JMS|November 13, 2019
Visualizing the agreement of peptide assignments between different search enginesAnnelies Agten, Joris Van Houtven, Manor Askenazi, et al.
Journal of Proteome Research|April 4, 2019
QCQuan: A Web Tool for the Automated Assessment of Protein Expression and Data Quality of Labeled Mass Spectrometry ExperimentsJoris Van Houtven, Annelies Agten, Kurt Boonen, et al.
Computers in Biology and Medicine|February 29, 2024
The influence of resolution on the predictive power of spatial heterogeneity measures as biomarkers of liver fibrosisJari Claes, Annelies Agten, Alfonso Blázquez-Moreno, et al.
Computers in Biology and Medicine|August 27, 2023
Measures of spatial heterogeneity in the liver tissue micro-environment as predictive factors for fibrosis scoreAnnelies Agten, Alfonso Blázquez-Moreno, Marjolein Crabbe, et al.
Pageof 1