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DNA Methylation

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Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The O-methylguanine-DNA-methyltransferase (MGMT) promoter methylation has been shown to be associated with improved outcomes in patients with glioblastoma (GBM) and may be a predictive marker of sensitivity to chemotherapy. ...

Sensitive detection of DNA methyltransferase using the dendritic rolling circle amplification-induced fluorescence.

Analytica chimica acta
The analysis of DNA methylation and MTase activities is very important in the early clinical diagnosis of cancer, on purposes of providing insights into the mechanism of gene repression and developing novel drugs of treating methylation-related disea...

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.

Journal of bioinformatics and computational biology
Breast cancer histologic grade represents the morphological assessment of the tumor's malignancy and aggressiveness, which is vital in clinically planning treatment and estimating prognosis for patients. Therefore, the prediction of breast cancer gra...

Comprehensive analysis of epigenetically regulated genes in anergic T cells.

Cellular immunology
T cell anergy is one of the important mechanisms for immune tolerance. The results of many studies investigating the mechanism for T cell anergy induction have revealed that the expression of several genes was up-regulated in anergic T cells. It has ...

DMAK: A curated pan-cancer DNA methylation annotation knowledgebase.

Bioengineered
Pan-cancer analysis can identify cell- and tissue-specific genomic loci and regions with underlying biological functions. Here we present an online curated DNA Methylation Annotation Knowledgebase, DMAK, which includes the pan-cancer analysis results...

MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis.

Bioinformatics (Oxford, England)
MOTIVATION: Supervised machine learning is widely applied to transcriptomic data to predict disease diagnosis, prognosis or survival. Robust and interpretable classifiers with high accuracy are usually favored for their clinical and translational pot...

A knowledgebase of the human Alu repetitive elements.

Journal of biomedical informatics
Alu elements are the most abundant retrotransposons in the human genome with more than one million copies. Alu repeats have been reported to participate in multiple processes related with genome regulation and compartmentalization. Moreover, they hav...

DNA methyltransferase detection based on digestion triggering the combination of poly adenine DNA with gold nanoparticles.

Biosensors & bioelectronics
DNA methyltransferase (MTase) has received a large amount of attention due to its catalyzation of DNA methylation in both eukaryotes and prokaryotes, which has a close relationship to cancer and bacterial diseases. Herein, a novel electrochemical str...

Characterization and machine learning prediction of allele-specific DNA methylation.

Genomics
A large collection of Single Nucleotide Polymorphisms (SNPs) has been identified in the human genome. Currently, the epigenetic influences of SNPs on their neighboring CpG sites remain elusive. A growing body of evidence suggests that locus-specific ...