AIMC Topic: DNA Methylation

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Morphology-based molecular classification of spinal cord ependymomas using deep neural networks.

Brain pathology (Zurich, Switzerland) Jan 11, 2024
Based on DNA-methylation, ependymomas growing in the spinal cord comprise two major molecular types termed spinal (SP-EPN) and myxopapillary ependymomas (MPE(-A/B)), which differ with respect to their clinical features and prognosis. Due to the exist...
Adolescent Child, Preschool Middle Aged Deep Learning Spinal Cord Ependymoma Female Spinal Cord Neoplasms Aged Adult Male Young Adult Humans Neural Networks, Computer Child DNA Methylation
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Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction.

BMC genomics Dec 11, 2023
BACKGROUND: DNA methylation is a form of epigenetic modification that impacts gene expression without modifying the DNA sequence, thereby exerting control over gene function and cellular development. The prediction of DNA methylation is vital for und...
Neural Networks, Computer Machine Learning Algorithms Time Factors DNA Methylation
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SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding.

Computers in biology and medicine Sep 27, 2023
DNA N6-methyladenine (6mA) is one of the most common and abundant modifications, which plays essential roles in various biological processes and cellular functions. Therefore, the accurate identification of DNA 6mA sites is of great importance for a ...
Computational Biology DNA Methylation Neural Networks, Computer Animals DNA Adenine Humans
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DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction.

PeerJ Sep 25, 2023
DNA methylation is a crucial topic in bioinformatics research. Traditional wet experiments are usually time-consuming and expensive. In contrast, machine learning offers an efficient and novel approach. In this study, we propose DeepMethylation, a no...
DNA Methylation Deep Learning Electric Power Supplies Computational Biology Generalization, Psychological
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Precision epigenetics provides a scalable pathway for improving coronary heart disease care globally.

Epigenomics Sep 13, 2023
Coronary heart disease (CHD) is the world's leading cause of death. Up to 90% of all CHD deaths are preventable, but effective prevention of this mortality requires more scalable, precise methods for assessing CHD status and monitoring treatment resp...
DNA Methylation Coronary Disease Humans Epigenesis, Genetic Epigenomics Artificial Intelligence
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Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network.

PLoS computational biology Aug 28, 2023
DNA methylation takes on critical significance to the regulation of gene expression by affecting the stability of DNA and changing the structure of chromosomes. DNA methylation modification sites should be identified, which lays a solid basis for gai...
Algorithms DNA Methylation Entropy Neural Networks, Computer Machine Learning
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Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring.

Proceedings of the National Academy of Sciences of the United States of America Jul 3, 2023
Plasma cell-free DNA (cfDNA) is a noninvasive biomarker for cell death of all organs. Deciphering the tissue origin of cfDNA can reveal abnormal cell death because of diseases, which has great clinical potential in disease detection and monitoring. D...
Humans Promoter Regions, Genetic Biomarkers Biomarkers, Tumor DNA Methylation Deep Learning Cell-Free Nucleic Acids
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Development of a model for the prediction of biological age.

Computer methods and programs in biomedicine Jun 24, 2023
BACKGROUND AND OBJECTIVE: Rates of aging vary markedly among individuals, and biological age serves as a more reliable predictor of current health status than does chronological age. As such, the ability to predict biological age can support appropri...
DNA Methylation Bayes Theorem Aging Adolescent Machine Learning Algorithms Humans
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EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species.

Computers in biology and medicine May 11, 2023
Methylation is a major DNA epigenetic modification for regulating the biological processes without altering the DNA sequence, and multiple types of DNA methylations have been discovered, including 6mA, 5hmC, and 4mC. Multiple computational approaches...
Neural Networks, Computer DNA Methylation DNA Machine Learning Epigenesis, Genetic
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I-DNAN6mA: Accurate Identification of DNA N-Methyladenine Sites Using the Base-Pairing Map and Deep Learning.

Journal of chemical information and modeling Feb 1, 2023
The recent discovery of numerous DNA N-methyladenine (6mA) sites has transformed our perception about the roles of 6mA in living organisms. However, our ability to understand them is hampered by our inability to identify 6mA sites rapidly and cost-ef...
Arabidopsis Animals DNA Deep Learning Drosophila melanogaster DNA Methylation
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