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Deconvolution of DNA methylation signatures identifies common differentially methylated gene regions on 1p36 across breast cancer subtypes

机译：DNA甲基化签收的去卷积鉴定乳腺癌亚型1p36上的常见差异甲基化基因区

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Alexander J. Titus; Gregory P. Way; Kevin C. Johnson; Brock C. Christensen;
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1. Genome-wide DNA methylation analysis of patients with imprinting disorders identifies differentially methylated regions associated with novel candidate imprinted genes. [J] . Louise E Docherty, Faisal I Rezwan, Rebecca L Poole, Journal of Medical Genetics . 2014,第4期

机译：患有印迹疾病的患者的全基因组DNA甲基化分析可确定与新型候选印迹基因相关的差异甲基化区域。
2. Genome-wide screen for differentially methylated long noncoding RNAs identifies Esrp2 and lncRNA Esrp2-as regulated by enhancer DNA methylation with prognostic relevance for human breast cancer [J] . K Heilmann, R Toth, C Bossmann, Oncogene . 2017,第46期

机译：全基因组差异甲基化长非编码RNA筛选确定Esrp2和lncRNA Esrp2受增强子DNA甲基化调控，与人类乳腺癌的预后相关
3. Cell subpopulation deconvolution reveals breast cancer heterogeneity based on DNA methylation signature [J] . Wen Yanhua, Wei Yanjun, Zhang Shumei, Briefings in bioinformatics . 2017,第3期

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4. Visualizing and Identifying the DNA Methylation Markers in Breast Cancer Tumor Subtypes [C] . Islam Ibrahim Amin, Aboul Ella Hassanien, Hesham A. Hefny, International Conference on Innovations in Bio-inspired Computing and Applications . 2014

机译：可视化和鉴定乳腺癌肿瘤亚型中的DNA甲基化标志物
5. Identification of novel differentially methylated DNA regions using active learning and imbalanced class learners. [D] . Haque, Md. Muksitul. 2014

机译：使用主动学习和不平衡的班级学习者识别新型差异甲基化的DNA区域。
6. Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes [O] . Alexander J. Titus, Gregory P. Way, Kevin C. Johnson, -1

机译：DNA甲基化的反卷积识别跨乳腺癌亚型的1p36上的差异甲基化基因区域
7. Genome-wide DNA methylation analysis of patients with imprinting disorders identifies differentially methylated regions associated with novel candidate imprinted genes [O] . Docherty, L.E., Rezwan, F.I., Poole, R.L., 2014

机译：印迹病患者的全基因组DNa甲基化分析鉴定与新候选印迹基因相关的差异甲基化区域

Deconvolution of DNA methylation signatures identifies common differentially methylated gene regions on 1p36 across breast cancer subtypes

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