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Jan Ramon

Showing results (1-10 of 15) with videos related to

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Best Practice & Research. Clinical Anaesthesiology|May 20, 2009
Machine learning techniques to examine large patient databasesGeert Meyfroidt, Fabian Güiza, Jan Ramon, et al.
Plos One|April 27, 2018
IncGraph: Incremental graphlet counting for topology optimisationRobrecht Cannoodt, Joeri Ruyssinck, Jan Ramon, et al.
Journal of Proteome Research|March 23, 2013
Predicting tryptic cleavage from proteomics data using decision tree ensemblesThomas Fannes, Elien Vandermarliere, Leander Schietgat, et al.
Bioinformatics (Oxford, England)|May 28, 2013
PIUS: peptide identification by unbiased searchEduardo P Costa, Gerben Menschaert, Walter Luyten, et al.
Molecular Informatics|December 18, 2022
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithmLeander Schietgat, Bertrand Cuissart, Kurt De Grave, et al.
Molecular Informatics|June 8, 2017
Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to MutagenicityJulien Rabatel, Thomas Fannes, Alban Lepailleur, et al.
Plos Computational Biology|April 24, 2018
A machine learning based framework to identify and classify long terminal repeat retrotransposonsLeander Schietgat, Celine Vens, Ricardo Cerri, et al.
Proteomics|December 11, 2013
Machine learning applications in proteomics research: how the past can boost the futurePieter Kelchtermans, Wout Bittremieux, Kurt De Grave, et al.
Biology Direct|January 8, 2015
A new ensemble coevolution system for detecting HIV-1 protein coevolutionGuangdi Li, Kristof Theys, Jens Verheyen, et al.
Studies in Health Technology and Informatics|September 12, 2009
Dynamic data analysis and data mining for prediction of clinical stabilityKristien Van Loon, Fabian Guiza, Geert Meyfroidt, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Best Practice & Research. Clinical Anaesthesiology|May 20, 2009
Machine learning techniques to examine large patient databasesGeert Meyfroidt, Fabian Güiza, Jan Ramon, et al.
Plos One|April 27, 2018
IncGraph: Incremental graphlet counting for topology optimisationRobrecht Cannoodt, Joeri Ruyssinck, Jan Ramon, et al.
Journal of Proteome Research|March 23, 2013
Predicting tryptic cleavage from proteomics data using decision tree ensemblesThomas Fannes, Elien Vandermarliere, Leander Schietgat, et al.
Bioinformatics (Oxford, England)|May 28, 2013
PIUS: peptide identification by unbiased searchEduardo P Costa, Gerben Menschaert, Walter Luyten, et al.
Molecular Informatics|December 18, 2022
Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithmLeander Schietgat, Bertrand Cuissart, Kurt De Grave, et al.
Molecular Informatics|June 8, 2017
Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to MutagenicityJulien Rabatel, Thomas Fannes, Alban Lepailleur, et al.
Plos Computational Biology|April 24, 2018
A machine learning based framework to identify and classify long terminal repeat retrotransposonsLeander Schietgat, Celine Vens, Ricardo Cerri, et al.
Proteomics|December 11, 2013
Machine learning applications in proteomics research: how the past can boost the futurePieter Kelchtermans, Wout Bittremieux, Kurt De Grave, et al.
Biology Direct|January 8, 2015
A new ensemble coevolution system for detecting HIV-1 protein coevolutionGuangdi Li, Kristof Theys, Jens Verheyen, et al.
Studies in Health Technology and Informatics|September 12, 2009
Dynamic data analysis and data mining for prediction of clinical stabilityKristien Van Loon, Fabian Guiza, Geert Meyfroidt, et al.
Pageof 2