AIMC Topic: DNA Methylation
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DMAK: A curated pan-cancer DNA methylation annotation knowledgebase.
Bioengineered
Aug 12, 2016
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)
Mar 2, 2016
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
Jan 28, 2016
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
Dec 29, 2015
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...
Genome-Wide Locations of Potential Epimutations Associated with Environmentally Induced Epigenetic Transgenerational Inheritance of Disease Using a Sequential Machine Learning Prediction Approach.
PloS one
Nov 16, 2015
Environmentally induced epigenetic transgenerational inheritance of disease and phenotypic variation involves germline transmitted epimutations. The primary epimutations identified involve altered differential DNA methylation regions (DMRs). Differen...
DDT
Methoxychlor
Sertoli Cells
Databases, Genetic
Environmental Exposure
Sequence Analysis, DNA
Humans
Granulosa Cells
DNA Methylation
Machine Learning
CpG Islands
Cluster Analysis
Bayes Theorem
Chromosomes
Phenotype
Genetic Predisposition to Disease
Mutation
Computational Biology
Female
Spermatozoa
Epigenesis, Genetic
Reproducibility of Results
Male
Genome-Wide Association Study
Characterization and machine learning prediction of allele-specific DNA methylation.
Genomics
Sep 25, 2015
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 ...
Classification of lung cancer using ensemble-based feature selection and machine learning methods.
Molecular bioSystems
Dec 16, 2014
Lung cancer is one of the leading causes of death worldwide. There are three major types of lung cancers, non-small cell lung cancer (NSCLC), small cell lung cancer (SCLC) and carcinoid. NSCLC is further classified into lung adenocarcinoma (LADC), sq...
Paternally Expressed Gene 10 Promoter Methylation Level as a Predictor of HBeAg Seroconversion in Chronic Hepatitis B Patients.
Journal of medical virology
Aug 1, 2025
The management of chronic hepatitis B (CHB) encounters challenges like suboptimal antiviral response and the lack of predictive biomarkers. In this study, the role of paternally expressed gene 10 (PEG10) in hepatitis B e antigen (HBeAg) seroconversio...
A multi-phase approach using supervised algorithms and clinical models to generate high-accuracy signatures for pancreatic cancer.
Computers in biology and medicine
Aug 1, 2025
BACKGROUND: The in silico analyses provide evidence supporting the potential of methylation-driven differentially expressed genes as therapeutic targets across cancer types. This leads us to identify novel targets and their associated drug compounds ...
Personalized medicine for cardiovascular diseases: how next generation epigenetic technologies can contribute?
Epigenomics
Jul 1, 2025
Advances in DNA methylation and artificial intelligence have led to new methods for assessing risk and diagnosing coronary heart disease (CHD), the leading cause of death. However, whether these technologies can also be harnessed to generate new phar...
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