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P. Eline Slagboom
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2020 – today
- 2024
- [i2]Pedro Mateus, Swier Garst, Jing Yu, Davy Cats, Alexander G. J. Harms, Mahlet A. Birhanu, Marian Beekman, P. Eline Slagboom, Marcel J. T. Reinders, Jeroen van der Grond, Andre Dekker, Jacobus F. A. Jansen, Magdalena Beran, Miranda T. Schram, Pieter Jelle Visser, Justine E. F. Moonen, Mohsen Ghanbari, Gennady Roshchupkin, Dina Vojinovic, Iñigo Bermejo, Hailiang Mei, Esther E. Bron:
MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning. CoRR abs/2409.01235 (2024) - 2022
- [j8]Daniele Bizzarri, Marcel J. T. Reinders, Marian Beekman, P. Eline Slagboom, Erik van den Akker:
MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's 1H-NMR metabolomics data. Bioinform. 38(15): 3847-3849 (2022) - [j7]Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe:
A recurrent neural network architecture to model physical activity energy expenditure in older people. Data Min. Knowl. Discov. 36(1): 477-512 (2022) - 2020
- [j6]Stylianos Paraschiakos, Ricardo Cachucho, Matthijs Moed, Diana van Heemst, Simon Mooijaart, P. Eline Slagboom, Arno J. Knobbe, Marian Beekman:
Activity recognition using wearable sensors for tracking the elderly. User Model. User Adapt. Interact. 30(3): 567-605 (2020) - [i1]Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe:
RNNs on Monitoring Physical Activity Energy Expenditure in Older People. CoRR abs/2006.01169 (2020)
2010 – 2019
- 2016
- [j5]M. Kroon, Eric-Wubbo Lameijer, N. Lakenberg, Jayne Y. Hehir-Kwa, D. T. Thung, P. Eline Slagboom, Joost N. Kok, Kai Ye:
Detecting dispersed duplications in high-throughput sequencing data using a database-free approach. Bioinform. 32(4): 505-510 (2016) - 2015
- [j4]René Luijk, Jelle J. Goeman, P. Eline Slagboom, Bastiaan T. Heijmans, Erik W. van Zwet:
An alternative approach to multiple testing for methylation QTL mapping reduces the proportion of falsely identified CpGs. Bioinform. 31(3): 340-345 (2015) - 2014
- [j3]Maarten van Iterson, Elmar W. Tobi, Roderick C. Slieker, Wouter den Hollander, René Luijk, P. Eline Slagboom, Bastiaan T. Heijmans:
MethylAid: visual and interactive quality control of large Illumina 450k datasets. Bioinform. 30(23): 3435-3437 (2014) - 2012
- [j2]Yanju Zhang, Eric-Wubbo Lameijer, Peter A. C. 't Hoen, Zemin Ning, P. Eline Slagboom, Kai Ye:
PASSion: a pattern growth algorithm-based pipeline for splice junction detection in paired-end RNA-Seq data. Bioinform. 28(4): 479-486 (2012) - 2011
- [j1]Erik van den Akker, Bas Verbruggen, Bas T. Heijmans, Marian Beekman, Joost N. Kok, Pieternella E. Slagboom, Marcel J. T. Reinders:
Integrating Protein-Protein Interaction Networks with Gene-Gene Co-Expression Networks improves Gene Signatures for Classifying Breast Cancer Metastasis. J. Integr. Bioinform. 8(2) (2011)
2000 – 2009
- 2008
- [c2]Fabrice Colas, Ingrid Meulenbelt, Jeanine J. Houwing-Duistermaat, Margreet Kloppenburg, Iain Watt, Stephanie M. van Rooden, Martine Visser, Johan Marinus, Edward O. Cannon, Andreas Bender, Jacobus J. van Hilten, P. Eline Slagboom, Joost N. Kok:
A Scenario Implementation in Rfor SubtypeDiscoveryExamplified on Chemoinformatics Data. ISoLA 2008: 669-683 - 2007
- [c1]Fabrice Colas, Ingrid Meulenbelt, Jeanine J. Houwing-Duistermaat, P. Eline Slagboom, Joost N. Kok:
A Comparison of two Methods for Finding Groups using Heat Maps and Model Based Clustering. SGAI Conf. (Applications) 2007: 119-131
Coauthor Index
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last updated on 2025-01-09 13:24 CET by the dblp team
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