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A modulated empirical Bayes model for identifying topological and temporal estrogen receptor α regulatory networks in breast cancer.

, , , , , , , , , , , , , and . BMC Syst. Biol., (2011)

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Epigenetic Hypothesis Tests for Methylation and Acetylation in a Triple Microarray System., , , , and . J. Comput. Biol., 12 (3): 370-390 (2005)Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines., , , and . BMC Syst. Biol., 10 (4): 433-443 (2016)A novel k-mer mixture logistic regression for methylation susceptibility modeling of CpG dinucleotides in human gene promoters., , and . BMC Bioinform., 13 (S-3): S15 (2012)Identification of Transcription Factor and microRNA Binding Sites from Array-derived Gene Expression Data., , , , , , and . BIOCOMP, page 657-663. CSREA Press, (2007)Predicting DNA Methylation Susceptibility Using CpG Flanking Sequences., , , , , , , and . Pacific Symposium on Biocomputing, page 315-326. World Scientific, (2008)BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data., , , and . Bioinform., 31 (2): 265-267 (2015)BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis., , , , , , , , , and . BIBM, page 494-499. IEEE Computer Society, (2011)Enriched transcription factor binding sites in hypermethylated gene promoters in drug resistant cancer cells., , , , , , , and . Bioinform., 24 (16): 1745-1748 (2008)Empirical bayes model comparisons for differential methylation analysis., , , , , , and . GENSiPS, page 9-12. IEEE, (2011)An ERα/modulator regulatory network in the breast cancer cells., , , , , , , and . GENSiPS, page 5-8. IEEE, (2011)