Van Vliet, Martin H, Reyal, Fabien, Horlings, Hugo M, Van De Vijver, Marc J, Reinders, Marcel JT, Wessels, Lodewyk FA
Abstract Background Michiels et al. (Lancet 2005; 365: 488–92) employed a resampling strategy to show that the genes identified as predictors of prognosis from resamplings of a single gene...
Meuleman, Wouter, Engwegen, Judith YMN, Gast, Marie-Christine W, Beijnen, Jos H, Reinders, Marcel JT, Wessels, Lodewyk FA
Abstract Background Mass spectrometry for biological data analysis is an active field of research, providing an efficient way of high-throughput proteome screening. A popular variant of mass...
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets (2007)
Lai, Carmen, Horlings, Hugo M, Van De Vijver, Marc J, Van Beers, Eric H, Nederlof, Petra M, Wessels, Lodewyk FA, ...
Abstract Background Array comparative genome hybridization (aCGH) provides information about genomic aberrations. Alterations in the DNA copy number may cause the cell to malfunction, leading to...
Exploiting combinatorial cultivation conditions to infer transcriptional regulation (2007)
Knijnenburg, Theo A, De Winde, Johannes H, Daran, Jean-Marc, Daran-Lapujade, Pascale, Pronk, Jack T, Reinders, Marcel JT, ...
Abstract Background Regulatory networks often employ the model that attributes changes in gene expression levels, as observed across different cellular conditions, to changes in the activity of...
Converting a breast cancer microarray signature into a high-throughput diagnostic test (2006)
Glas, Annuska M, Floore, Arno, Delahaye, Leonie JMJ, Witteveen, Anke T, Pover, Rob CF, Bakx, Niels, ...
Abstract Background A 70-gene tumor expression profile was established as a powerful predictor of disease outcome in young breast cancer patients. This profile, however, was generated on microarrays...
Predicting a local recurrence after breast-conserving therapy by gene expression profiling (2006)
Nuyten, Dimitry SA, Kreike, Bas, Hart, Augustinus AM, Chi, Jen-Tsan, Sneddon, Julie B, Wessels, Lodewyk FA, ...
Abstract Introduction To tailor local treatment in breast cancer patients there is a need for predicting ipsilateral recurrences after breast-conserving therapy. After adequate treatment (excision...
Lai, Carmen, Reinders, Marcel JT, Van't Veer, Laura J, Wessels, Lodewyk FA
Abstract Background Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifies a...
Converting a breast cancer microarray signature into a high-throughput diagnostic test
Glas, Annuska M, Floore, Arno, Delahaye, Leonie JMJ, Witteveen, Anke T, Pover, Rob CF, Bakx, Niels, ...
Converting a breast cancer microarray signature into a high-throughput diagnostic test
Glas, Annuska M, Floore, Arno, Delahaye, Leonie JMJ, Witteveen, Anke T, Pover, Rob CF, Bakx, Niels, ...
Predicting a local recurrence after breast-conserving therapy by gene expression profiling
Nuyten, Dimitry SA, Kreike, Bas, Hart, Augustinus AM, Chi, Jen-Tsan Ashley, Sneddon, Julie B, Wessels, Lodewyk FA, ...
Exploiting combinatorial cultivation conditions to infer transcriptional regulation
Knijnenburg, Theo A, De Winde, Johannes H, Daran, Jean-Marc, Daran-Lapujade, Pascale, Pronk, Jack T, Reinders, Marcel JT, ...
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
Lai, Carmen, Horlings, Hugo M, Van De Vijver, Marc J, Van Beers, Eric H, Nederlof, Petra M, Wessels, Lodewyk FA, ...