Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Renger H, Jellema"'
Autor:
Sebastiaan L. Knijnenburg, Renger H. Jellema, Christine Kirkpatrick, Luiz Olavo Bonino da Silva Santos, Jean-Marc Neefs, Albert Mons, Martijn G. Kersloot, Gerbrand Ruiter, Wouter Franke, Herman van Vlijmen, Derk L. Arts, Bert Meerman, Scott J. Lusher, Arie Baak, Arne Waalkens, Rudi Verbeeck
Publikováno v:
Data Intelligence, 2(1-2), 276-284. MIT Press Journals
The industry sector is a very large producer and consumer of data, and many companies traditionally focused on production or manufacturing are now relying on the analysis of large amounts of data to develop new products and services. As many of the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4d7a64965909698e930529aef78e255
https://pure.amc.nl/en/publications/the-need-of-industry-to-go-fair(4d3962d4-a8a5-46e6-a134-5d6fca3bbb01).html
https://pure.amc.nl/en/publications/the-need-of-industry-to-go-fair(4d3962d4-a8a5-46e6-a134-5d6fca3bbb01).html
Publikováno v:
Metabolomics
Metabolomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues (the metabolome). By analyzing differences between metabolomes using biostatistics (multivariate dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::186f93ea3f60ec073cd45b5dba78b57e
https://doi.org/10.1007/s11306-010-0254-3
https://doi.org/10.1007/s11306-010-0254-3
Autor:
Bas Muilwijk, Shaji Krishnan, Renger H. Jellema, Jack T. W. E. Vogels, Margriet M. W. B. Hendriks
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 104:132-139
Extraction of peak areas and mass spectral information from chromatography mass spectral data such as obtained in metabolomics measurements requires much effort and the quality is often subjective to the operator that handles the data at hand. In mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::724963bdccd94da31c475c7c1bee1e95
https://doi.org/10.1016/j.chemolab.2010.07.007
https://doi.org/10.1016/j.chemolab.2010.07.007
Autor:
Renger H. Jellema, Daniel J. Vis, Carina M. Rubingh, Age K. Smilde, Huub C. J. Hoefsloot, Sabina Bijlsma, Ferdinand Roelfsema, J. van der Greef, Hanno Pijl, Johan A. Westerhuis
Publikováno v:
Metabolomics
Metabolomics, 6(1), 3-17. Springer New York
Metabolomics, 6(1), 3-17
Metabolomics, 1, 6, 3-17
Metabolomics, 6(1), 3-17. Springer New York
Metabolomics, 6(1), 3-17
Metabolomics, 1, 6, 3-17
In metabolomics, time-resolved, dynamic or temporal data is more and more collected. The number of methods to analyze such data, however, is very limited and in most cases the dynamic nature of the data is not even taken into account. This paper revi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21f5b641e595f63c7171e48929045164
https://doi.org/10.1007/s11306-009-0191-1
https://doi.org/10.1007/s11306-009-0191-1
Autor:
Mariët J van der Werf, Renger H. Jellema, Carina M. Rubingh, Age K. Smilde, Karin M. Overkamp, Sabina Bijlsma
Publikováno v:
Journal of Proteome Research. 8:4319-4327
A longitudinal experimental design in combination with metabolomics and multiway data analysis is a powerful approach in the identification of metabolites whose correlation with bioproduct formation shows a shift in time. In this paper, a strategy is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4d50f79d754239f045629e2014e44ab
https://doi.org/10.1021/pr900126e
https://doi.org/10.1021/pr900126e
Publikováno v:
Journal of Microbiological Methods. 64:207-216
Messenger RNA levels change on a minutes scale due to both degradation and de novo transcription. Consequently, alterations in the transcript profiles that are not representative for the condition of interest are easily introduced during sample harve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf319e7737ebef8c4b51449981fb4ddb
https://doi.org/10.1016/j.mimet.2005.04.035
https://doi.org/10.1016/j.mimet.2005.04.035
Autor:
Nicole van Luijk, Mariët J. van der Werf, Karin M. Overkamp, Bart Pieterse, Frank H. J. Schuren, Renger H. Jellema, Bianca van der Werff-van der Vat
Publikováno v:
Microbiology. 152:257-272
The value of the multivariate data analysis tools principal component analysis (PCA) and principal component discriminant analysis (PCDA) for prioritizing leads generated by microarrays was evaluated. To this end, Pseudomonas putida S12 was grown in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00d8b42f1047a8941372104f89b3f77c
https://doi.org/10.1099/mic.0.28278-0
https://doi.org/10.1099/mic.0.28278-0
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
https://doi.org/10.1055/s-2005-916241
Autor:
Renger H. Jellema, Sabina Bijlsma, Mariët J. van der Werf, Age K. Smilde, Bianca J. C. van der Werff-van der Vat
Publikováno v:
Analytical chemistry, 77(20), 6729-6736. American Chemical Society
Analytical Chemistry, 20, 77, 6729-6736
Analytical Chemistry, 77(20), 6729-6736. American Chemical Society
Analytical Chemistry, 20, 77, 6729-6736
Analytical Chemistry, 77(20), 6729-6736. American Chemical Society
A general method is presented for combining mass spectrometry-based metabolomics data. Such data are becoming more and more abundant, and proper tools for fusing these types of data sets are needed. Fusion of metabolomics data leads to a comprehensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a8ad11c989e373bfab84731cf6cd7a
https://doi.org/10.1021/ac051080y
https://doi.org/10.1021/ac051080y