A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns

A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns

Background: Epigenetic modifications, including CG methylation (a major form of DNA methylation) and histone modifications, interact with each other to shape their genomic distribution patterns. However, the entire picture of the epigenetic crosstalk regulating the CG methylation pattern is unknown...

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Bibliographic Details
Main Authors: Au Yeung, W.K (Author), Maruyama, O. (Author), Sasaki, H. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Alkylation
animal
Animals
Biological experiments
Convolutional neural network
Convolutional neural networks
Crosstalk
DNA
DNA methylation
DNA Methylation
DNA sequences
Epigenesis, Genetic
Epigenetic crosstalk
Epigenetic modification
epigenetics
Epigenomics
genetic epigenesis
Genomic distribution
histone code
Histone Code
Histone modification
Machine learning
Machine learning approaches
Machine learning models
Mammalian oocytes
Mammals
Methylation
Mice
mouse
Neural Networks, Computer
Oocyte
Regression analysis
Regression model
Stem cell
Turing machines
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Internet

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