DeepMethyl specifications


Unique identifier OMICS_11936
Name DeepMethyl
Alternative name SdAs
Interface Web user interface
Restrictions to use None
Programming languages Python
Computer skills Basic
Stability No
Maintained No


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Publication for DeepMethyl

DeepMethyl citations


Machine learning for epigenetics and future medical applications

PMCID: 5687335
PMID: 28524769
DOI: 10.1080/15592294.2017.1329068

[…] nd that different methylation profiles exist not only for different tissue types but also for different diseases. Wang et al. compared a standard ML approach (SVM) to a DL autoencoder approach called DeepMethyl using several tumor cell lines to assess CpG methylation and associated genomic topological features. Results show that the DL approach can improve over SVM in some cases. Although using lo […]


Genome Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in Human

Int J Mol Sci
PMCID: 5343954
PMID: 28212312
DOI: 10.3390/ijms18020420
call_split See protocol

[…] ed more than ten years ago and others did not make their dataset publicly available. Here, we chose two recently published existing methods with accessible datasets for comparison, iDNA-Methyl [] and DeepMethyl []. For comparison with iDNA-Methyl, we downloaded its dataset (787 methylated samples and 1639 unmethylated samples) from their website ( and then com […]

DeepMethyl institution(s)
School of Computing, University of Southern Mississippi, Hattiesburg, MS, USA; Department of Computer Science and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA; Department of Biochemistry and Molecular Biology, Georgia Regents University, Augusta, GA, USA; Department of Pharmacology and Toxicology, University of Mississippi Medical Center, North State Street, Jackson, MS, USA
DeepMethyl funding source(s)
Supported by the startup grant and a seed grant from National Science Foundation Mississippi EPSCoR (sub-award from Mississippi State University).

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