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Van Vliet, M.H. (author), Horlings, H.M. (author), Van de Vijver, M.J. (author), Reinders, M.J.T. (author), Wessels, L.F.A. (author)Breast cancer outcome can be predicted using models derived from gene expression data or clinical data. Only a few studies have created a single prediction model using both gene expression and clinical data. These studies often remain inconclusive regarding an obtained improvement in prediction performance. We rigorously compare three different...journal article 2012
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- Van Vliet, M.H. (author), Wessels, L.F.A. (author), Reinders, M.J.T. (author) journal article 2009
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- Reyal, F. (author), Van Vliet, M.H. (author), Armstrong, N.J. (author), Horlings, H.M. (author), De Visser, K.E. (author), Kok, M. (author), Teschendorff, A.E. (author), Mook, S. (author), Van 't Veer, L. (author), Caldas, C. (author), Salmon, R.J. (author), Vijver, M.J. (author), Wessels, L.F.A. (author) journal article 2008
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Van Vliet, M.H. (author), Reyal, F. (author), Horlings, H.M. (author), Van De Vijver, M.J. (author), Reinders, M.J.T. (author), Wessels, L.F.A. (author)OA fund TU Delftjournal article 2008
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Van Vliet, M.H. (author), Klijn, C.N. (author), Wessels, L.F. (author), Reinders, M.J.T. (author)Background. The availability of large collections of microarray datasets (compendia), or knowledge about grouping of genes into pathways (gene sets), is typically not exploited when training predictors of disease outcome. These can be useful since a compendium increases the number of samples, while gene sets reduce the size of the feature space....journal article 2007