AIMC Topic: DNA Methylation
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Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease.
PloS one
Mar 31, 2021
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 l...
MRI-Based Deep-Learning Method for Determining Glioma Promoter Methylation Status.
AJNR. American journal of neuroradiology
Mar 4, 2021
BACKGROUND AND PURPOSE: () promoter methylation confers an improved prognosis and treatment response in gliomas. We developed a deep learning network for determining promoter methylation status using T2 weighted Images (T2WI) only.
Sensitivity and Specificity
Brain Neoplasms
Male
Middle Aged
Neural Networks, Computer
Area Under Curve
Reproducibility of Results
DNA Modification Methylases
Aged
DNA Repair Enzymes
Adult
Tumor Suppressor Proteins
Humans
Deep Learning
Glioma
Promoter Regions, Genetic
Magnetic Resonance Imaging
DNA Methylation
4mCPred-CNN-Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network.
Genes
Feb 20, 2021
Among DNA modifications, N4-methylcytosine (4mC) is one of the most significant ones, and it is linked to the development of cell proliferation and gene expression. To know different its biological functions, the accurate detection of 4mC sites is re...
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.
PLoS computational biology
Feb 18, 2021
N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biological processes. Identifying accurately 6mA sites on a genomic scale is crucial for under-standing of 6mA's biological functions. However, the existing ...
Sarcoma classification by DNA methylation profiling.
Nature communications
Jan 21, 2021
Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They represent a morphologically heterogeneous class of tumours and some entities lack defining histopathological features. Therefore, the diagnosis of sa...
MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors.
Genome biology
Jan 19, 2021
Although genome-wide DNA methylomes have demonstrated their clinical value as reliable biomarkers for tumor detection, subtyping, and classification, their direct biological impacts at the individual gene level remain elusive. Here we present Methyla...
The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome.
Nature cancer
Nov 2, 2020
We report a systematic analysis of the DNA methylation variability in 1,595 samples of normal cell subpopulations and 14 tumor subtypes spanning the entire human B-cell lineage. Differential methylation among tumor entities relates to differences in ...
Machine learning analysis of DNA methylation in a hypoxia-immune model of oral squamous cell carcinoma.
International immunopharmacology
Oct 19, 2020
BACKGROUND: Hypoxia status and immunity are related with the development and prognosis of oral squamous cell carcinoma (OSCC). Here, we constructed a hypoxia-immune model to explore its upstream mechanism and identify potential CpG sites.
Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data.
Biomolecules
Oct 19, 2020
Mortality attributed to lung cancer accounts for a large fraction of cancer deaths worldwide. With increasing mortality figures, the accurate prediction of prognosis has become essential. In recent years, multi-omics analysis has emerged as a useful ...
Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model.
Human cell
Oct 12, 2020
The use of human induced pluripotent stem cells (iPSCs), used as an alternative to human embryonic stem cells (ESCs), is a potential solution to challenges, such as immune rejection, and does not involve the ethical issues concerning the use of ESCs ...
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