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Efficient detection of differentially methylated regions using DiMmeR., , , , , , and . Bioinformatics, 33 (4): 549-551 (2017)Microarray R-based analysis of complex lysate experiments with MIRACLE., , , , , , , , and . Bioinformatics, 30 (17): 631-638 (2014)On the power of epigenome-wide association studies using a disease-discordant twin design., , , , and . Bioinformatics, 34 (23): 4073-4078 (2018)A Growth Curve Model with Fractional Polynomials for Analysing Incomplete Time-Course Data in Microarray Gene Expression Studies., , , , , , , , and . Adv. Bioinformatics, (2011)Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data., , , , , , and . J. Integrative Bioinformatics, (2014)Analysis of Large Genomic Data in Silico: The EPIC-Norfolk Study of Obesity., , , , and . ICIC (3), volume 2 of Communications in Computer and Information Science, page 781-790. Springer, (2007)Correspondence analysis of microarray time-course data in case-control design., , , , , , , and . Journal of Biomedical Informatics, 37 (5): 358-365 (2004)A Bootstrap Correspondence Analysis for Factorial Microarray Experiments with Replications., , , , , and . ISBRA, volume 4463 of Lecture Notes in Computer Science, page 73-84. Springer, (2007)Latent growth curve modeling of incomplete timecourse data in microarray gene expression studies., , and . CIBCB, page 100-104. IEEE, (2012)A Combinatory Approach for Selecting Prognostic Genes in Microarray Studies of Tumour Survivals., , , , , and . Adv. Bioinformatics, (2009)