Research graph
References from iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylation. Local targets link to admitted publications; unresolved targets remain external evidence.
DNA methylation dynamics in health and disease
10.1038/nsmb.2518 · 2013 · External reference
Widespread and tissue specific age-related DNA methylation changes in mice
10.1101/gr.096826.109 · 2010 · External reference
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization
10.1093/bioinformatics/btab677 · 2021 · External reference
SNNRice6mA: a deep learning method for predicting DNA N6-methyladenine sites in rice genome
10.3389/fgene.2019.01071 · 2019 · External reference
BERT6mA: Prediction of DNA N6-Methyladenine Site Using Deep Learning-Based Approaches
10.1093/bib/bbac053 · 2022 · External reference
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites
10.1093/bioinformatics/btac434 · 2022 · External reference
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches
10.1093/bib/bbac053 · 2022 · External reference
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework
10.1093/bib/bbaa202 · 2021 · External reference
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning
10.1007/s11704-020-0180-0 · 2022 · External reference
Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites
10.1093/bib/bbab351 · 2021 · External reference
DIRECTION: a machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes
10.1093/bioinformatics/btx316 · 2017 · External reference
An extensive examination of discovering 5-methylcytosine sites in genome-wide DNA promoters using machine learning based approaches
2021 · External reference
BiLSTM-5mC: a bidirectional long short-term memory-based approach for predicting 5-methylcytosine sites in genome-wide DNA promoters
10.3390/molecules26247414 · 2021 · External reference
4mCCNN: identification of N4-methylcytosine sites in prokaryotes using convolutional neural network
10.1109/access.2019.2943169 · 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
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites
10.1093/bib/bbaa124 · 2021 · External reference
Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning
10.1093/bib/bbaa099 · 2021 · External reference
Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction
10.1186/s12859-022-04789-6 · 2022 · External reference
Developing a multi-layer deep learning based predictive model to identify DNA N4-methylcytosine modifications
10.3389/fbioe.2020.00274 · 2020 · External reference
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
10.1186/s13059-022-02780-1 · 2022 · External reference
iDNA-MT: identification DNA modification sites in multiple species by using multi-task learning based a neural network tool
10.3389/fgene.2021.663572 · 2021 · External reference
iDNA-MS: an integrated computational tool for detecting DNA modification sites in multiple genomes
10.1016/j.isci.2020.100991 · 2020 · External reference
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization
10.1093/bioinformatics/btab677 · 2021 · External reference
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
2022 · External reference
MaskDNA-PGD: an innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method
10.1016/j.chemolab.2022.104715 · 2023 · External reference
Mouse4mC-BGRU: Deep learning for predicting DNA N4 methylcytosine sites in mouse genome
10.1016/j.ymeth.2022.01.009 · 2022 · External reference
Unresolved reference
External reference
DNABERT: pre-trained bidirectional encoder representations from transformers model for DNA-language in genome
10.1093/bioinformatics/btab083 · 2021 · External reference
Methsmrt: an integrative database for DNA n6-methyladenine and n4-methylcytosine generated by single-molecular real-time sequencing
2016 · External reference
Mouse4mC-BGRU: Deep learning for predicting DNA N4 methylcytosine sites in mouse genome
10.1016/j.ymeth.2022.01.009 · 2022 · External reference
DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine era
10.3389/fmed.2023.1187430 · 2023 · External reference
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species
10.1016/j.compbiomed.2023.107030 · 2023 · External reference
M6A-BERT-Stacking: A Tissue-Specific Predictor for Identifying RNA N6-Methyladenosine Sites Based on BERT and Stacking Strategy
10.3390/sym15030731 · 2023 · External reference
6mAPred-MSFF: A deep learning model for predicting DNA n6-methyladenine sites across species based on a multi-scale feature fusion mechanism
10.3390/app11167731 · 2021 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization
10.1093/bioinformatics/btab677 · 2021 · External reference
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
2022 · External reference
iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes
10.1016/j.isci.2020.100991 · 2020 · External reference
MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model
10.1093/bioinformatics/btz556 · 2020 · External reference
Computational identifification of N6-methyladenosine sites in multiple tissues of mammals
10.1016/j.csbj.2020.04.015 · 2020 · External reference
