AIMC Topic: CpG Islands

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Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children. While noncoding genetic variation has been shown to play a major role in many complex disorders, the contribution of these regions to ASD susceptibi...
Humans Machine Learning Phenotype Autism Spectrum Disorder Female Male Case-Control Studies Cohort Studies Child Gene Regulatory Networks Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Association Studies Computational Biology Logistic Models MicroRNAs DNA Whole Genome Sequencing Genetic Variation CpG Islands RNA, Untranslated Microsatellite Repeats Supranuclear Palsy, Progressive
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DIRECTION: a machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes.

Bioinformatics (Oxford, England) Oct 1, 2017
MOTIVATION: 5-Methylcytosine and 5-Hydroxymethylcytosine in DNA are major epigenetic modifications known to significantly alter mammalian gene expression. High-throughput assays to detect these modifications are expensive, labor-intensive, unfeasible...
Humans Machine Learning Software Algorithms Animals Epigenesis, Genetic DNA Methylation DNA Mammals CpG Islands 5-Methylcytosine
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Higher order methylation features for clustering and prediction in epigenomic studies.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: DNA methylation is an intensely studied epigenetic mark, yet its functional role is incompletely understood. Attempts to quantitatively associate average DNA methylation to gene expression yield poor correlations outside of the well-under...
Machine Learning Forecasting Epigenomics DNA Methylation Gene Expression CpG Islands Promoter Regions, Genetic Genome
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