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M J T Reinders

Showing results (1-10 of 20) with videos related to

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International Journal of Bioinformatics Research and Applications|July 22, 2008
Creating gene set activity profiles with time-series expression dataT A Knijnenburg, L F A Wessels, M J T Reinders
Bioinformatics (Oxford, England)|July 1, 2008
Combinatorial influence of environmental parameters on transcription factor activityT A Knijnenburg, L F A Wessels, M J T Reinders
Computational and Structural Biotechnology Journal|September 22, 2025
scAGG: Sample-level embedding and classification of Alzheimer's disease from single-nucleus dataT Verlaan, G A Bouland, A Mahfouz, et al.
EURASIP Journal on Bioinformatics & Systems Biology|February 7, 2009
Stability from structure: metabolic networks are unlike other biological networksP van Nes, D Bellomo, M J T Reinders, et al.
Pharmacogenomics|August 8, 2002
Genetic network modelingE P van Someren, L F A Wessels, E Backer, et al.
Bioinformatics (Oxford, England)|June 13, 2022
MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's 1H-NMR metabolomics dataD Bizzarri, M J T Reinders, M Beekman, et al.
Ebiomedicine|December 23, 2021
1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpointsD Bizzarri, M J T Reinders, M Beekman, et al.
Intensive Care Medicine|February 17, 2025
Analyzing PaO<sub>2</sub>/FiO<sub>2</sub>?: mind the interaction with PEEP!J M Smit, J H Krijthe, J Van Bommel, et al.
Bioinformatics (Oxford, England)|December 8, 2005
Least absolute regression network analysis of the murine osteoblast differentiation networkE P van Someren, B L T Vaes, W T Steegenga, et al.
Critical Care (London, England)|December 24, 2021
Demystifying machine learning for mortality predictionJ M Smit, M E van Genderen, M J T Reinders, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
International Journal of Bioinformatics Research and Applications|July 22, 2008
Creating gene set activity profiles with time-series expression dataT A Knijnenburg, L F A Wessels, M J T Reinders
Bioinformatics (Oxford, England)|July 1, 2008
Combinatorial influence of environmental parameters on transcription factor activityT A Knijnenburg, L F A Wessels, M J T Reinders
Computational and Structural Biotechnology Journal|September 22, 2025
scAGG: Sample-level embedding and classification of Alzheimer's disease from single-nucleus dataT Verlaan, G A Bouland, A Mahfouz, et al.
EURASIP Journal on Bioinformatics & Systems Biology|February 7, 2009
Stability from structure: metabolic networks are unlike other biological networksP van Nes, D Bellomo, M J T Reinders, et al.
Pharmacogenomics|August 8, 2002
Genetic network modelingE P van Someren, L F A Wessels, E Backer, et al.
Bioinformatics (Oxford, England)|June 13, 2022
MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's 1H-NMR metabolomics dataD Bizzarri, M J T Reinders, M Beekman, et al.
Ebiomedicine|December 23, 2021
1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpointsD Bizzarri, M J T Reinders, M Beekman, et al.
Intensive Care Medicine|February 17, 2025
Analyzing PaO<sub>2</sub>/FiO<sub>2</sub>?: mind the interaction with PEEP!J M Smit, J H Krijthe, J Van Bommel, et al.
Bioinformatics (Oxford, England)|December 8, 2005
Least absolute regression network analysis of the murine osteoblast differentiation networkE P van Someren, B L T Vaes, W T Steegenga, et al.
Critical Care (London, England)|December 24, 2021
Demystifying machine learning for mortality predictionJ M Smit, M E van Genderen, M J T Reinders, et al.
Pageof 2