AIMC Topic: Epigenomics
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DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.
Forensic science international. Genetics
Feb 28, 2017
The ability to estimate the age of the donor from recovered biological material at a crime scene can be of substantial value in forensic investigations. Aging can be complex and is associated with various molecular modifications in cells that accumul...
Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.
Molecular autism
Mar 15, 2016
BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidities with one another. In order to better understand potential genetic divergence underlying this variable risk, we studied genes responsible for mono...
Penetrance
Intellectual Disability
Body Patterning
Chromatin Assembly and Disassembly
Epilepsy
Syndrome
Cell Nucleus
Gene Expression Regulation
Autistic Disorder
Risk
Humans
Gene Ontology
Autism Spectrum Disorder
Neurogenesis
Epigenomics
Comorbidity
Nuclear Proteins
Protein Interaction Maps
Databases, Genetic
Genetic Association Studies
Nerve Tissue Proteins
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...
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...
Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma.
International journal of medical informatics
Jul 1, 2025
BACKGROUND: In Pancreatic Ductal Adenocarcinoma (PDAC), current prognostic scores are unable to fully capture the biological heterogeneity of the disease. While some approaches investigating the role of multi-omics in PDAC are emerging, the analysis ...
The predictive power of profiling the DNA methylome in human health and disease.
Epigenomics
Jun 1, 2025
Early and accurate diagnosis significantly improves the chances of disease survival. DNA methylation (5mC), the major DNA modification in the human genome, is now recognized as a biomarker of immense clinical potential. This is due to its ability to ...
scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links.
Nature communications
May 29, 2025
Recent advancements in single-cell technologies have enabled comprehensive characterization of cellular states through transcriptomic, epigenomic, and proteomic profiling at single-cell resolution. These technologies have significantly deepened our u...
ChromActivity: integrative epigenomic and functional characterization assay based annotation of regulatory activity across diverse human cell types.
Genome biology
May 9, 2025
We introduce ChromActivity, a computational framework for predicting and annotating regulatory activity across the genome through integration of multiple epigenomic maps and various functional characterization datasets. ChromActivity generates genome...
Graph neural networks for single-cell omics data: a review of approaches and applications.
Briefings in bioinformatics
Mar 4, 2025
Rapid advancement of sequencing technologies now allows for the utilization of precise signals at single-cell resolution in various omics studies. However, the massive volume, ultra-high dimensionality, and high sparsity nature of single-cell data ha...
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