Marinus J. C. Eijkemans - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Sharing Medical Big Data While Preserving Patient Confidentiality in Innovative Medicines Initiative: A Summary and Case Report from BigData@HeartMegan Schröder, Sam H. A. Muller, Eleni Vradi, Johanna Mielke, Yvonne M. F. Lim, Fabrice Couvelard, Menno Mostert, Stefan Koudstaal, Marinus J. C. Eijkemans, Christoph Gerlinger. bigdata, 11(6):399-407, December 2023. [doi]

2019

Eliminating biasing signals in lung cancer images for prognosis predictions with deep learningWouter A. C. van Amsterdam, Joost J. C. Verhoeff, Pim A. de Jong, Tim Leiner, Marinus J. C. Eijkemans. npjdm, 2, 2019. [doi]

2018

Identification of differentially expressed peptides in high-throughput proteomics dataMichiel P. van Ooijen, Victor L. Jong, Marinus J. C. Eijkemans, Albert J. R. Heck, Arno C. Andeweg, Nadine A. Binai, Henk-Jan van den Ham. bib, 19(5):971-981, 2018. [doi]

2017

Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemiaPutri W. Novianti, Victor L. Jong, Kit C. B. Roes, Marinus J. C. Eijkemans. bmcbi, 18(1), 2017. [doi]

2016

Selecting a classification function for class prediction with gene expression dataVictor L. Jong, Putri W. Novianti, Kit C. B. Roes, Marinus J. C. Eijkemans. bioinformatics, 32(12):1814-1822, 2016. [doi]

2015

Factors affecting the accuracy of a class prediction model in gene expression dataPutri Novianti, Victor Jong, Kit Roes, Marinus J. C. Eijkemans. bmcbi, 16:199, 2015. [doi]

2009

Aligning Bayesian Network Classifiers with Medical ContextsLinda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser. mldm 2009: 787-801 [doi]

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