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Elucidation of DNA methylation on N
6
-adenine with deep learning
Fei Tan
, Tian Tian
, Xiurui Hou
, Xiang Yu
, Lei Gu
, Fernanda Mafra
, Brian D. Gregory
,
Zhi Wei
, Hakon Hakonarson
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
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6
-adenine with deep learning'. Together they form a unique fingerprint.
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Keyphrases
Deep Learning
100%
DNA Methylation (DNAm)
100%
DNA 6mA
100%
Eukaryotes
75%
Regulatory Mechanism
50%
Genomic Data
50%
Analytical Tools
25%
Escherichia Coli
25%
Biotechnology
25%
Sparsity
25%
Superior Performance
25%
Drosophila Melanogaster
25%
Map-based
25%
In Silico
25%
Site-based
25%
Contextual Analysis
25%
Genomic Prediction
25%
Functional Impact
25%
Arabidopsis Thaliana
25%
Analysis Protocol
25%
Saliency Map
25%
Motif Analysis
25%
Single-nucleotide Resolution
25%
Cis-regulatory
25%
K-mer
25%
Regulatory Patterns
25%
Biochemistry, Genetics and Molecular Biology
Eukaryote
100%
Adenine
100%
DNA Methylation
100%
Escherichia coli
33%
Drosophila Melanogaster
33%
Computer Model
33%
Arabidopsis thaliana
33%