AIMC Topic: DNA Methylation
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Identification of aberrantly methylated‑differentially expressed genes and gene ontology in prostate cancer.
Molecular medicine reports
Dec 11, 2019
Prostate cancer (PCa) is the most frequent urological malignancy in men worldwide. DNA methylation has an essential role in the etiology and pathogenesis of PCa. The purpose of the present study was to identify the aberrantly methylated‑differentiall...
D-GPM: A Deep Learning Method for Gene Promoter Methylation Inference.
Genes
Oct 14, 2019
Whole-genome bisulfite sequencing generates a comprehensive profiling of the gene methylation levels, but is limited by a high cost. Recent studies have partitioned the genes into landmark genes and target genes and suggested that the landmark gene e...
Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.
Cardiovascular diabetology
Jun 11, 2019
BACKGROUND: Diabetes mellitus is a chronic disease that impacts an increasing percentage of people each year. Among its comorbidities, diabetics are two to four times more likely to develop cardiovascular diseases. While HbA1c remains the primary dia...
Models, Genetic
Support Vector Machine
DNA Methylation
Glycated Hemoglobin
Genomics
Genetic Predisposition to Disease
Polymorphism, Single Nucleotide
Epigenesis, Genetic
Mitochondria, Heart
Diabetic Cardiomyopathies
Genetic Markers
DNA, Mitochondrial
CpG Islands
Systems Integration
Prognosis
Female
Risk Factors
Male
Middle Aged
Risk Assessment
Disease Progression
Diabetes Mellitus, Type 2
Humans
Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data.
Nature communications
Jun 4, 2019
DNA base modifications, such as C5-methylcytosine (5mC) and N6-methyldeoxyadenosine (6mA), are important types of epigenetic regulations. Short-read bisulfite sequencing and long-read PacBio sequencing have inherent limitations to detect DNA modifica...
HOME: a histogram based machine learning approach for effective identification of differentially methylated regions.
BMC bioinformatics
May 16, 2019
BACKGROUND: The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methylome analysis is the accurate...
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.
Computers in biology and medicine
May 3, 2019
Recent analysis identified distinct genomic subtypes of lower-grade glioma tumors which are associated with shape features. In this study, we propose a fully automatic way to quantify tumor imaging characteristics using deep learning-based segmentati...
Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.
International journal of molecular sciences
Apr 27, 2019
The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection of CP is an important clinical objective as this improves long term outcomes. We performed genome-wide DNA methylation analysis to identify epigenomic...
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 9, 2019
Breast cancer is one of the most common cancers all over the world, which bring about more than 450,000 deaths each year. Although this malignancy has been extensively studied by a large number of researchers, its prognosis is still poor. Since thera...
MRCNN: a deep learning model for regression of genome-wide DNA methylation.
BMC genomics
Apr 4, 2019
BACKGROUND: Determination of genome-wide DNA methylation is significant for both basic research and drug development. As a key epigenetic modification, this biochemical process can modulate gene expression to influence the cell differentiation which ...
Predicting DNA Methylation States with Hybrid Information Based Deep-Learning Model.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 3, 2019
DNA methylation plays an important role in the regulation of some biological processes. Up to now, with the development of machine learning models, there are several sequence-based deep learning models designed to predict DNA methylation states, whic...
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