Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jasper Engel"'
Autor:
Vahe Avagyan, Ric C. H. de Vos, Alberto Brini, Jack H. Vossen, Edwin R. van den Heuvel, Jasper Engel
Publikováno v:
Metabolites
Metabolites, 11(4)
Metabolites, Vol 11, Iss 237, p 237 (2021)
Metabolites, 11(4):237. Multidisciplinary Digital Publishing Institute (MDPI)
Volume 11
Issue 4
Metabolites 11 (2021) 4
Metabolites, 11(4)
Metabolites, Vol 11, Iss 237, p 237 (2021)
Metabolites, 11(4):237. Multidisciplinary Digital Publishing Institute (MDPI)
Volume 11
Issue 4
Metabolites 11 (2021) 4
One-class modelling is a useful approach in metabolomics for the untargeted detection of abnormal metabolite profiles, when information from a set of reference observations is available to model “normal” or baseline metabolite profiles. Such outl
Publikováno v:
Chemometrics and Intelligent Laboratory Systems, 164, pp. 83-93
Chemometrics and Intelligent Laboratory Systems, 164, 83-93. Elsevier Science
Chemometrics and Intelligent Laboratory Systems, 164, 83-93
Chemometrics and Intelligent Laboratory Systems, 164, 83-93. Elsevier Science
Chemometrics and Intelligent Laboratory Systems, 164, 83-93
The -omics technologies are becoming increasingly important in health care and are expected to contribute to personalized health care. In a typical experiment, cases and controls are compared as a two-class classification problem. This approach is of
Publikováno v:
Chemometrics and Intelligent Laboratory Systems 174 (2018)
Chemometrics and Intelligent Laboratory Systems, 174, pp. 142-148
Chemometrics and Intelligent Laboratory Systems, 174, 142-148
Chemometrics and Intelligent Laboratory Systems, 174, pp. 142-148
Chemometrics and Intelligent Laboratory Systems, 174, 142-148
The interpretation of estimates of model parameters in terms of biological information is often just as important as the predictions of the model itself. In this study we consider the identification of metabolites in a possibly biologically heterogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::782cb664bc2cb58ca0be575f852f5cca
https://research.wur.nl/en/publications/better-interpretable-models-after-correcting-for-natural-variatio
https://research.wur.nl/en/publications/better-interpretable-models-after-correcting-for-natural-variatio
Autor:
Jochen Jansen, B. Rafii, Ewa Szymańska, Bart Geurts, A. Suppers, Jasper Engel, Lionel Blanchet, Lutgarde M. C. Buydens
Publikováno v:
Chemometrics and Intelligent Laboratory Systems, 156, 231-240
Chemometrics and Intelligent Laboratory Systems, 156, 231-240. Elsevier Science
Chemometrics and Intelligent Laboratory Systems, 156, pp. 231-240
Chemometrics and Intelligent Laboratory Systems, 156, 231-240. Elsevier Science
Chemometrics and Intelligent Laboratory Systems, 156, pp. 231-240
As no analytical chemical platform exists that is able to characterize the full chemical composition of a sample, often multiple platforms are used to measure the same sample. The chemometric analysis of the resulting data then requires the data to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::082e3be38f27b5e75aff3d660bf67faa
http://hdl.handle.net/2066/162006
http://hdl.handle.net/2066/162006
Pseudo-sample trajectories for variable interaction detection in Dissimilarity Partial Least Squares
Publikováno v:
Chemometrics and Intelligent Laboratory Systems, 146, pp. 89-101
Chemometrics and Intelligent Laboratory Systems, 146, 89-101
Chemometrics and Intelligent Laboratory Systems, 146, 89-101
In linear regression and classification variable interactions are neglected, unless explicitly modelled. In practice, however, explicit modelling of interactions is often not feasible. For example, in high dimensional data it is often not known which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf4ae786e3f49ed02c92c83e80c8b639
https://hdl.handle.net/2066/144981
https://hdl.handle.net/2066/144981