[HTML][HTML] Large language models in bioinformatics: applications and perspectives
Large language models (LLMs) are a class of artificial intelligence models based on deep
learning, which have great performance in various tasks, especially in natural language …
learning, which have great performance in various tasks, especially in natural language …
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches
Abstract N6-methyladenine (6mA) is associated with important roles in DNA replication,
DNA repair, transcription, regulation of gene expression. Several experimental methods …
DNA repair, transcription, regulation of gene expression. Several experimental methods …
LSA-ac4C: a hybrid neural network incorporating double-layer LSTM and self-attention mechanism for the prediction of N4-acetylcytidine sites in human mRNA
FL Lai, F Gao - International Journal of Biological Macromolecules, 2023 - Elsevier
Abstract N4-acetylcytidine (ac4C) is a vital constituent of the epitranscriptome and plays a
crucial role in the regulation of mRNA expression. Numerous studies have established …
crucial role in the regulation of mRNA expression. Numerous studies have established …
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
In this study, we propose iDNA-ABF, a multi-scale deep biological language learning model
that enables the interpretable prediction of DNA methylations based on genomic sequences …
that enables the interpretable prediction of DNA methylations based on genomic sequences …
MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction
Transformer-based language models are successfully used to address massive text-related
tasks. DNA methylation is an important epigenetic mechanism, and its analysis provides …
tasks. DNA methylation is an important epigenetic mechanism, and its analysis provides …
Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species
Abstract DNA N6-methyladenine (6mA) is a key DNA modification, which plays versatile
roles in the cellular processes, including regulation of gene expression, DNA repair, and …
roles in the cellular processes, including regulation of gene expression, DNA repair, and …
[HTML][HTML] DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features
Abstract N 4-methylcytosine (4mC) is a DNA modification involving the addition of a methyl
group to the fourth nitrogen atom of the cytosine base. This modification may influence gene …
group to the fourth nitrogen atom of the cytosine base. This modification may influence gene …
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species
Methylation is a major DNA epigenetic modification for regulating the biological processes
without altering the DNA sequence, and multiple types of DNA methylations have been …
without altering the DNA sequence, and multiple types of DNA methylations have been …
PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning
Z Zhou, C Xiao, J Yin, J She, H Duan, C Liu… - Computers in Biology …, 2024 - Elsevier
Abstract DNA N6-methyladenine (6mA) modifications play a pivotal role in the regulation of
growth, development, and diseases in organisms. As a significant epigenetic marker, 6mA …
growth, development, and diseases in organisms. As a significant epigenetic marker, 6mA …
StableDNAm: towards a stable and efficient model for predicting DNA methylation based on adaptive feature correction learning
L Zhuo, R Wang, X Fu, X Yao - BMC genomics, 2023 - Springer
Background DNA methylation, instrumental in numerous life processes, underscores the
paramount importance of its accurate prediction. Recent studies suggest that deep learning …
paramount importance of its accurate prediction. Recent studies suggest that deep learning …