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Your search keyword '"Wilting, Saskia M"' showing total 19 results
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19 results on '"Wilting, Saskia M"'

1. Comprehensive characterization of circulating tumor cells and cell‐free DNA in patients with metastatic melanoma

Author

Bos, Manouk K., primary, Kraan, Jaco, additional, Starmans, Martijn P. A., additional, Helmijr, Jean C. A., additional, Verschoor, Noortje, additional, De Jonge, Maja J. A., additional, Joosse, Arjen, additional, van der Veldt, Astrid A. M., additional, te Boekhorst, Peter A. W., additional, Martens, John W. M., additional, Sleijfer, Stefan, additional, and Wilting, Saskia M., additional

Published
2024
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2. mFast‐SeqS‐based aneuploidy score in circulating cell‐free DNA is a prognostic biomarker in prostate cancer

Author

Isebia, Khrystany T., primary, Mostert, Bianca, additional, Deger, Teoman, additional, Kraan, Jaco, additional, de Weerd, Vanja, additional, Oomen‐de Hoop, Esther, additional, Hamberg, Paul, additional, Haberkorn, Brigitte C. M., additional, Helgason, Helgi H., additional, de Wit, Ronald, additional, Mathijssen, Ron H. J., additional, Lolkema, Martijn P., additional, Wilting, Saskia M., additional, van Riet, Job, additional, and Martens, John W. M., additional

Published
2023
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3. A pipeline for copy number profiling of single circulating tumour cells to assess intrapatient tumour heterogeneity

Author

Deger, Teoman, primary, Mendelaar, Pauline A. J., additional, Kraan, Jaco, additional, Prager‐van der Smissen, Wendy J. C., additional, van der Vlugt‐Daane, Michelle, additional, Bindels, Eric M. J., additional, Sieuwerts, Anieta M., additional, Sleijfer, Stefan, additional, Wilting, Saskia M., additional, Hollestelle, Antoinette, additional, and Martens, John W. M., additional

Published
2022
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4. Genome‐wide aneuploidy detected by mFast‐SeqS in circulating cell‐free DNA is associated with poor response to pembrolizumab in patients with advanced urothelial cancer

Author

Mendelaar, Pauline A.J., primary, Robbrecht, Debbie, additional, Rijnders, Maud, additional, de Wit, Ronald, additional, de Weerd, Vanja, additional, Deger, Teoman, additional, Westgeest, Hans M., additional, Aarts, Maureen J.B., additional, Voortman, Jens, additional, Martens, John W.M., additional, van der Veldt, Astrid A.M., additional, Nakauma‐González, J Alberto, additional, Wilting, Saskia M., additional, and Lolkema, Martijn, additional

Published
2022
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7. Genome-wide microRNA analysis of HPV-positive self-samples yields novel triage markers for early detection of cervical cancer

Author

Snoek, Barbara C., primary, Verlaat, Wina, additional, Babion, Iris, additional, Novianti, Putri W., additional, van de Wiel, Mark A., additional, Wilting, Saskia M., additional, van Trommel, Nienke E., additional, Bleeker, Maaike C.G., additional, Massuger, Leon F.A.G., additional, Melchers, Willem J.G., additional, Sie, Daoud, additional, Heideman, Daniëlle A.M., additional, Snijders, Peter J.F., additional, Meijer, Chris J.L.M., additional, and Steenbergen, Renske D.M., additional

Published
2018
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9. Molecular heterogeneity in human papillomavirus‐dependent and ‐independent vulvar carcinogenesis

Author

Swarts, Dorian R. A., primary, Voorham, Quirinus J. M., additional, van Splunter, Annina P., additional, Wilting, Saskia M., additional, Sie, Daoud, additional, Pronk, Divera, additional, Beurden, Marc, additional, Heideman, Daniëlle A. M., additional, Snijders, Peter J. F., additional, Meijer, Chris J. L. M., additional, Steenbergen, Renske D. M., additional, and Bleeker, Maaike C. G., additional

Published
2018
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12. Identification of eight candidate target genes of the recurrent 3p12–p14 loss in cervical cancer by integrative genomic profiling

Author

Lando, Malin, primary, Wilting, Saskia M, additional, Snipstad, Kristin, additional, Clancy, Trevor, additional, Bierkens, Mariska, additional, Aarnes, Eva‐Katrine, additional, Holden, Marit, additional, Stokke, Trond, additional, Sundfør, Kolbein, additional, Holm, Ruth, additional, Kristensen, Gunnar B, additional, Steenbergen, Renske DM, additional, and Lyng, Heidi, additional

Published
2013
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14. Chromosomal profiles of high-grade cervical intraepithelial neoplasia relate to duration of preceding high-risk human papillomavirus infection

Author

Bierkens, Mariska, primary, Wilting, Saskia M., additional, van Wieringen, Wessel N., additional, van Kemenade, Folkert J., additional, Bleeker, Maaike C.G., additional, Jordanova, Ekaterina S., additional, Bekker-Lettink, Marjolein, additional, van de Wiel, Mark A., additional, Ylstra, Bauke, additional, Meijer, Chris J.L.M., additional, Snijders, Peter J.F., additional, and Steenbergen, Renske D.M., additional

Published
2011
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15. Combined CADM1 and MAL promoter methylation analysis to detect (pre-)malignant cervical lesions in high-risk HPV-positive women

Author

Overmeer, Renée M., primary, Louwers, Jacqueline A., additional, Meijer, Chris J.L.M., additional, van Kemenade, Folkert J., additional, Hesselink, Albertus T., additional, Daalmeijer, Nathalie Fransen, additional, Wilting, Saskia M., additional, Heideman, Daniëlle A.M., additional, Verheijen, René H.M., additional, Zaal, Afra, additional, Marchien van Baal, W., additional, Berkhof, Johannes, additional, Snijders, Peter J.F., additional, and Steenbergen, Renske D.M., additional

Published
2011
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17. Integrated genomic and transcriptional profiling identifies chromosomal loci with altered gene expression in cervical cancer

Author

Wilting, Saskia M., primary, de Wilde, Jillian, additional, Meijer, Chris J. L. M., additional, Berkhof, Johannes, additional, Yi, Yajun, additional, van Wieringen, Wessel N., additional, Braakhuis, Boudewijn J. M., additional, Meijer, Gerrit A., additional, Ylstra, Bauke, additional, Snijders, Peter J. F., additional, and Steenbergen, Renske D. M., additional

Published
2008
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19. Better prediction by use of co-data: adaptive group-regularized ridge regression.

Author

van de Wiel MA, Lien TG, Verlaat W, van Wieringen WN, and Wilting SM

Subjects
Bayes Theorem, Computer Simulation, DNA Methylation genetics, Female, Genetic Testing methods, Humans, Logistic Models, Precancerous Conditions genetics, Predictive Value of Tests, Reproducibility of Results, Research Design standards, Uterine Cervical Neoplasms genetics, Genetic Testing statistics & numerical data, Precancerous Conditions diagnosis, Research Design statistics & numerical data, Uterine Cervical Neoplasms diagnosis
Abstract

For many high-dimensional studies, additional information on the variables, like (genomic) annotation or external p-values, is available. In the context of binary and continuous prediction, we develop a method for adaptive group-regularized (logistic) ridge regression, which makes structural use of such 'co-data'. Here, 'groups' refer to a partition of the variables according to the co-data. We derive empirical Bayes estimates of group-specific penalties, which possess several nice properties: (i) They are analytical. (ii) They adapt to the informativeness of the co-data for the data at hand. (iii) Only one global penalty parameter requires tuning by cross-validation. In addition, the method allows use of multiple types of co-data at little extra computational effort. We show that the group-specific penalties may lead to a larger distinction between 'near-zero' and relatively large regression parameters, which facilitates post hoc variable selection. The method, termed GRridge, is implemented in an easy-to-use R-package. It is demonstrated on two cancer genomics studies, which both concern the discrimination of precancerous cervical lesions from normal cervix tissues using methylation microarray data. For both examples, GRridge clearly improves the predictive performances of ordinary logistic ridge regression and the group lasso. In addition, we show that for the second study, the relatively good predictive performance is maintained when selecting only 42 variables., (Copyright © 2015 John Wiley & Sons, Ltd.)

Published
2016
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