Levy-JurgensionEtAl2018

Assists users in predicting methylation from sequence and gene expression using deep learning. This program enables researchers to input any CpG position for which DNA methylation was not measured, along with the sample’s gene-expression profile, and obtain a prediction. This model is capable of generalizing across CpG sites as well as across samples.

Levy-JurgensionEtAl2018 specifications

Desktop

Information

Unique identifier	OMICS_33401
Name	Levy-JurgensionEtAl2018
Software type	Application/Script
Interface	Command line interface
Restrictions to use	None
Biological technology	Illumina
Operating system	Unix/Linux
Programming languages	Python
Computer skills	Advanced
Stability	Stable
Maintained	Yes

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Publication for Levy-JurgensionEtAl2018

Predicting Methylation from Sequence and Gene Expression Using Deep Learning with Attention.

2018 BioRxiv

DOI: 10.1101/491357

Levy-JurgensionEtAl2018 institution(s)

Technion - Israel Institute of Technology, Haifa, Israel; School of Computer Science, Interdisciplinary Center, Herzeliya, Israel; Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway

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