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A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies., , , and . BMC Bioinformatics, 18 (1): 105:1-105:14 (2017)Elucidating the Altered Transcriptional Programs in Breast Cancer using Independent Component Analysis., , , , and . PLoS Computational Biology, (2007)ChAMP: updated methylation analysis pipeline for Illumina BeadChips., , , , , , and . Bioinformatics, 33 (24): 3982-3984 (2017)dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers., , , , , , and . Nucleic Acids Research, 45 (Database-Issue): D812-D818 (2017)PACK: Profile Analysis using Clustering and Kurtosis to find molecular classifiers in cancer., , , and . Bioinformatics, 22 (18): 2269-2275 (2006)A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data., , , , , , and . Bioinformatics, 29 (2): 189-196 (2013)eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data., , , , , , , , , and 1 other author(s). Bioinformatics, 35 (22): 4767-4769 (2019)The Dynamics of DNA Methylation Covariation Patterns in Carcinogenesis., , , , , , and . PLoS Computational Biology, (2014)Accounting for differential variability in detecting differentially methylated regions., , , and . Briefings in Bioinformatics, 20 (1): 47-57 (2019)Tumor origin detection with tissue-specific miRNA and DNA methylation markers., , , , and . Bioinformatics, 34 (3): 398-406 (2018)