AIMC Topic: CpG Islands
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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...
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...
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...
CpG Islands
Chromosomes
DDT
Methoxychlor
Sertoli Cells
Humans
Machine Learning
Mutation
Phenotype
Female
Computational Biology
Spermatozoa
Epigenesis, Genetic
Reproducibility of Results
Environmental Exposure
Databases, Genetic
DNA Methylation
Male
Granulosa Cells
Sequence Analysis, DNA
Cluster Analysis
Genome-Wide Association Study
Bayes Theorem
Genetic Predisposition to Disease
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 ...
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 ...
Temporally discordant chromatin accessibility and DNA demethylation define short- and long-term enhancer regulation during cell fate specification.
Cell reports
May 27, 2025
Chromatin and DNA modifications mediate the transcriptional activity of lineage-specifying enhancers, but recent work challenges the dogma that joint chromatin accessibility and DNA demethylation are prerequisites for transcription. To understand thi...
ReQuant: improved base modification calling by k-mer value imputation.
Nucleic acids research
May 10, 2025
Nanopore sequencing allows identification of base modifications, such as methylation, directly from raw current data. Prevailing approaches, including deep learning (DL) methods, require training data covering all possible sequence contexts. These da...
Leveraging molecular-QTL co-association to predict novel disease-associated genetic loci using a graph convolutional neural network.
PloS one
Jan 1, 2025
Genome-wide association studies (GWAS) have successfully uncovered numerous associations between genetic variants and disease traits to date. Yet, identifying significantly associated loci remains a considerable challenge due to the concomitant multi...
Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning-based neural network.
GigaScience
Jul 1, 2020
BACKGROUND: Gene expression plays a key intermediate role in linking molecular features at the DNA level and phenotype. However, owing to various limitations in experiments, the RNA-seq data are missing in many samples while there exist high-quality ...
[Methylation level of MEG3 and semen quality].
Zhonghua nan ke xue = National journal of andrology
Nov 1, 2019
OBJECTIVE: To study the relationship between semen quality and the methylation level of maternally expressed gene 3 (MEG3) in sperm.
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