Výsledky vyhledávání

Evaluation of multiple variate selection methods from a biological perspective: a nutrigenomics case study

Autor: Marijana Radonjic, Uwe Thissen, E. Kate Kemsley, Henri S. Tapp

Publikováno v: Genes & Nutrition

Genomics-based technologies produce large amounts of data. To interpret the results and identify the most important variates related to phenotypes of interest, various multivariate regression and variate selection methods are used. Although inspected

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::758b6977f7b5d094bd30fef8d49af16d
http://europepmc.org/articles/PMC3380194

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A proper metabolomics strategy supports efficient food quality improvement: A case study on tomato sensory properties

Autor: Karin M. Overkamp, Jan Jetten, Bianca J. C. van der Werff, Toon van de Ven, Leon Coulier, Uwe Thissen, Mariët J. van der Werf

Publikováno v: Food Quality and Preference. 22:499-506

In agricultural and food products, typical quality parameters are sensory properties, shelf-life, safety, health, nutritional value, crop yield per area and disease resistance. It is known that these parameters are importantly determined by the metab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25a8546d2bd437a06649c26160c97d59
https://doi.org/10.1016/j.foodqual.2010.12.001

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Effects of Growth Conditions and Processing onRehmannia glutinosausing Fingerprint Strategy

Autor: Karl A. Ehlert, Jan van der Greef, Mei Wang, Maud M. Koek, Uwe Thissen, Wen-Te Chang, Renger H. Jellema, Thomas Hankemeier

Publikováno v: Planta Medica. 72:458-467

Metabolite profiling in combination with multivariate statistics is a sophisticated method for quality assessment of natural products. For the development of a quality control strategy in Traditional Chinese Medicine (TCM), we have measured the metab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5345607ee139114d20cf1423e8f2a0e
https://doi.org/10.1055/s-2005-916241

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Multivariate statistical process control using mixture modelling

Autor: Lutgarde M. C. Buydens, H. Swierenga, A.P. de Weijer, Uwe Thissen, Ron Wehrens, Willem J. Melssen

Publikováno v: Journal of Chemometrics, 19, 23-31
Journal of Chemometrics, 19, 1, pp. 23-31

When performing process monitoring, the classical approach of multivariate statistical process control (MSPC) explicitly assumes the normal operating conditions (NOC) to be distributed normally. If this assumption is not met, usually severe out-of-co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2b4c4ef8f9b909d12b817044db3585a
https://hdl.handle.net/2066/32763

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Comparing support vector machines to PLS for spectral regression applications

Autor: L.M.C. Buydens, Willem J. Melssen, B. Üstün, Uwe Thissen, Mlh Michel Pepers

Publikováno v: Chemometrics and Intelligent Laboratory Systems, 73, 169-179
Chemometrics and Intelligent Laboratory Systems, 73, 2, pp. 169-179
Chemometrics and Intelligent Laboratory Systems, 73(2), 169-179. Elsevier

Item does not contain fulltext In order to on-line control the quality of industrial products, often spectroscopic methods are used in combination with regression tools. Partial Least Squares (PLS) is the most used regression technique for this task

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68adc5a9e746e2b58dffc92225facfb3
https://doi.org/10.1016/j.chemolab.2004.01.002

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Multivariate Calibration with Least-Squares Support Vector Machines

Autor: B. Üstün, Willem J. Melssen, Lutgarde M. C. Buydens, Uwe Thissen

Publikováno v: Analytica Chimica Acta, 76, 11, pp. 3099-3105
Analytica Chimica Acta, 76, 3099-3105
Analytica Chimica Acta, 76, 3099-105
Analytica Chimica Acta, 76, 11, pp. 3099-105

Contains fulltext : 60399.pdf (Publisher’s version ) (Open Access) This paper proposes the use of least-squares support vector machines (LS-SVMs) as a relatively new nonlinear multivariate calibration method, capable of dealing with ill-posed probl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c10979c18f94458d5879b460ddb7b1d2
https://doi.org/10.1021/ac035522m

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Using support vector machines for time series prediction

Autor: Willem J. Melssen, R van Brakel, A.P. de Weijer, Uwe Thissen, Lutgarde M. C. Buydens

Publikováno v: Chemometrics and Intelligent Laboratory Systems, 69, 35-49
Chemometrics and Intelligent Laboratory Systems, 69, 1-2, pp. 35-49

Time series prediction can be a very useful tool in the field of process chemometrics to forecast and to study the behaviour of key process parameters in time. This creates the possibility to give early warnings of possible process malfunctioning. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7838938bb88ef3392203f41d0f94be3b
https://hdl.handle.net/2066/112358

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Nonlinear process monitoring using bottle-neck neural networks

Autor: Lutgarde M. C. Buydens, Uwe Thissen, Willem J. Melssen

Publikováno v: Analytica Chimica Acta. 446:369-381

In industry and laboratories, statistical process control (SPC) is often used to check the performance of processes. The need for multivariate statistical process control (MSPC) becomes more important as the number of variables that can be measured i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d520218aa669fe498e1dee4d0be3ae3
https://doi.org/10.1016/s0003-2670(01)01266-1

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