Research graph
References from i4mC-GRU: Identifying DNA N 4 -Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1002/jcp.21678
10.1002/jcp.21678 · External reference
10.1038/cr.2011.23
10.1038/cr.2011.23 · External reference
10.1038/npp.2012.112
10.1038/npp.2012.112 · External reference
10.1038/nature14192
10.1038/nature14192 · External reference
10.1016/j.sbi.2012.04.002
10.1016/j.sbi.2012.04.002 · External reference
10.1016/j.mib.2013.01.011
10.1016/j.mib.2013.01.011 · External reference
10.1093/nar/gku1046
10.1093/nar/gku1046 · External reference
N4-methylcytosine as a minor base in bacterial DNA
10.1128/jb.169.3.939-943.1987 · 1987 · External reference
Novel m4C modification in type I restriction-modification systems
2016 · External reference
Structural and functional diversity among Type III restriction-modification systems that confer host DNA protection via methylation of the N4 atom of cytosine
10.1371/journal.pone.0253267 · 2021 · External reference
Escherichia coli mutator mutants deficient in methylation-instructed DNA mismatch correction
10.1073/pnas.77.2.1063 · 1980 · External reference
10.1016/j.mib.2015.03.004
10.1016/j.mib.2015.03.004 · External reference
N4-cytoeisine dna methylation regulates transcription and pathogenesis in Helicobacter pylori
10.1093/nar/gky126 · 2018 · External reference
Selective recognition of N4-methylcytosine in DNA by engineered transcription-activator-like effectors
10.1098/rstb.2017.0078 · 2018 · External reference
10.1038/nmeth.1459
10.1038/nmeth.1459 · External reference
Unresolved reference
2021 · External reference
Exploring genome wide bisulfite sequencing for DNA methylation analysis in livestock: a technical assessment
10.3389/fgene.2014.00126 · 2014 · External reference
DNA methyltransferases and structural-functional specificity of eukaryotic DNA modification
2005 · External reference
10.1016/j.ab.2015.08.021
10.1016/j.ab.2015.08.021 · External reference
iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals
10.18632/oncotarget.17028 · 2017 · External reference
iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
10.1186/s12864-019-6336-3 · 2019 · External reference
iProDNA-CapsNet: identifying protein-DNA binding residues using capsule
2019 · External reference
iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
10.1016/j.ygeno.2018.01.005 · 2019 · External reference
iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features
2019 · External reference
iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties
10.1093/bioinformatics/btx479 · 2017 · External reference
4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction
10.1093/bioinformatics/bty668 · 2019 · External reference
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
10.1093/bioinformatics/bty824 · 2019 · External reference
10.1093/bioinformatics/btz408
10.1093/bioinformatics/btz408 · External reference
DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species
10.1093/bioinformatics/btaa143 · 2020 · External reference
4mCPred-MTL: accurate identification of DNA 4mC sites in multiple species using multi-task deep learning based on multi-head attention mechanism
10.3389/fcell.2021.664669 · 2021 · External reference
i4mC-Deep: an intelligent predictor of N4-methylcytosine sites using a deep learning approach with chemical properties
10.3390/genes12081117 · 2021 · External reference
DNC4mC-Deep: identification and analysis of DNA N4-methylcytosine sites based on different encoding schemes by using deep learning
10.3390/cells9081756 · 2020 · External reference
Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning
10.1093/bib/bbaa099 · 2021 · External reference
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites
10.1093/bib/bbaa124 · 2021 · External reference
MSNet-4mC: learning effective multi-scale representations for identifying DNA N4-methylcytosine sites
10.1093/bioinformatics/btac671 · 2022 · External reference
Unresolved reference
External reference
Predicting drug-induced liver injury using convolutional neural network and molecular fingerprint-embedded features
10.1021/acsomega.0c03866 · 2020 · External reference
iCYP-MFE: Identifying human cytochrome P450 inhibitors using multitask learning and molecular fingerprint-embedded encoding
2021 · External reference
MethSMRT: an integrative database for DNA N6-methyladenine and N4-methylcytosine generated by single-molecular real-time sequencing
2016 · External reference
4mCpred-EL: an ensemble learning framework for identification of DNA N4-methylcytosine sites in the mouse genome
10.3390/cells8111332 · 2019 · External reference
10.3390/genes12020296
10.3390/genes12020296 · External reference
Deep-4mCGP: a deep learning approach to predict 4mC sites in geobacter pickeringii by using correlation-based feature selection technique
10.3390/ijms23031251 · 2022 · External reference
10.1093/bioinformatics/btq003
10.1093/bioinformatics/btq003 · External reference
10.1016/j.csbj.2020.04.001 · Admitted local publication
Unresolved reference
External reference
10.1093/nar/gku356
10.1093/nar/gku356 · External reference
Decoy selection for protein structure prediction via extreme gradient boosting and ranking
10.1186/s12859-020-3523-9 · 2020 · External reference
10.1371/journal.pone.0237412
10.1371/journal.pone.0237412 · External reference
iPromoter-Seqvec: identifying promoters using bidirectional long short-term memory and sequence-embedded features
2022 · External reference
