AIMC Topic: DNA Methylation
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DIRECTION: a machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes.
Bioinformatics (Oxford, England)
Oct 1, 2017
MOTIVATION: 5-Methylcytosine and 5-Hydroxymethylcytosine in DNA are major epigenetic modifications known to significantly alter mammalian gene expression. High-throughput assays to detect these modifications are expensive, labor-intensive, unfeasible...
Higher order methylation features for clustering and prediction in epigenomic studies.
Bioinformatics (Oxford, England)
Sep 1, 2016
MOTIVATION: DNA methylation is an intensely studied epigenetic mark, yet its functional role is incompletely understood. Attempts to quantitatively associate average DNA methylation to gene expression yield poor correlations outside of the well-under...
Regulation of demethylation and re-expression of RASSF1A gene in hepatocellular carcinoma cell lines treated with NCTD in vitro.
Journal of cancer research and therapeutics
Jan 1, 2015
BACKGROUND: Hepatocellular carcinoma, a lethal malignant neoplasm with poor prognosis, has dismal results of surgical resection and chemoradiotherapy. Norcantharidin (NCTD), the demethylated analog of cantharidin derived from a traditional Chinese me...
Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer.
Epigenomics
Jan 1, 2015
AIMS: We applied artificial neural networks (ANNs) to understand the connections among polymorphisms of genes involved in folate metabolism, clinico-pathological features and promoter methylation levels of MLH1, APC, CDKN2A(INK4A), MGMT and RASSF1A i...
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