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Applying stability selection to consistently estimate sparse principal components in high-dimensional molecular data., , and . Bioinform., 31 (16): 2683-2690 (2015)Robust biclustering by sparse singular value decomposition incorporating stability selection., , , and . Bioinform., 27 (15): 2089-2097 (2011)Assessment and optimisation of normalisation methods for dual-colour antibody microarrays., , , , and . BMC Bioinform., (2010)DNA methylation-based classification of central nervous system tumours., , , , , , , , , and 133 other author(s). Nat., 555 (7697): 469-474 (2018)Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information., , , , , and . BMC Bioinform., (2016)Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs., , , and . Comput. Stat. Data Anal., 50 (12): 3464-3485 (2006)penalizedSVM: a R-package for feature selection SVM classification., , , , and . Bioinform., 25 (13): 1711-1712 (2009)Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas., , , , , , , , , and 4 other author(s). Genome Biol, 9 (10): R150 (2008)Reduced expression of CAMTA1 correlates with adverse outcome in neuroblastoma patients., , , , , , , , , and 2 other author(s). Clin Cancer Res, 12 (1): 131--138 (January 2006)On the identification of predictive biomarkers: Detecting treatment-by-gene interaction in high-dimensional data., , and . Comput. Stat. Data Anal., 56 (5): 1275-1286 (2012)