AIMC Topic: Histone Code

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Functional interpretation of genetic variants using deep learning predicts impact on chromatin accessibility and histone modification.

Nucleic acids research Nov 18, 2019
Identifying functional variants underlying disease risk and adoption of personalized medicine are currently limited by the challenge of interpreting the functional consequences of genetic variants. Predicting the functional effects of disease-associa...
Humans Deep Learning Genome-Wide Association Study Epigenesis, Genetic Sequence Analysis, DNA Polymorphism, Genetic Chromatin Assembly and Disassembly Histone Code
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DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

Bioinformatics (Oxford, England) Sep 1, 2018
MOTIVATION: Computational methods that predict differential gene expression from histone modification signals are highly desirable for understanding how histone modifications control the functional heterogeneity of cells through influencing different...
Humans Machine Learning Software Protein Processing, Post-Translational Gene Expression Histones Histone Code
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Deep learning of the splicing (epi)genetic code reveals a novel candidate mechanism linking histone modifications to ESC fate decision.

Nucleic acids research Dec 1, 2017
Alternative splicing (AS) is a genetically and epigenetically regulated pre-mRNA processing to increase transcriptome and proteome diversity. Comprehensively decoding these regulatory mechanisms holds promise in getting deeper insights into a variety...
Humans Neural Networks, Computer Machine Learning Sequence Analysis, RNA Epigenesis, Genetic Cell Line Cell Differentiation High-Throughput Nucleotide Sequencing Tumor Suppressor Proteins Ubiquitin-Protein Ligases Cell Lineage Alternative Splicing Embryonic Stem Cells Histone Code
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Denoising genome-wide histone ChIP-seq with convolutional neural networks.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Chromatin immune-precipitation sequencing (ChIP-seq) experiments are commonly used to obtain genome-wide profiles of histone modifications associated with different types of functional genomic elements. However, the quality of histone ChI...
Humans Neural Networks, Computer Software Animals Mice Epigenomics Sequence Analysis, DNA Cell Line High-Throughput Nucleotide Sequencing Chromatin Immunoprecipitation Histone Code
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DeepChrome: deep-learning for predicting gene expression from histone modifications.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: Histone modifications are among the most important factors that control gene regulation. Computational methods that predict gene expression from histone modification signals are highly desirable for understanding their combinatorial effec...
Humans Neural Networks, Computer Gene Regulatory Networks Computational Biology Epigenesis, Genetic Support Vector Machine Cluster Analysis Gene Expression Regulation Histone Code
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