THRONE: a new approach for accurate prediction of human RNA N7-methylguanosine sites

W Shoombuatong, S Basith, T Pitti, G Lee… - Journal of Molecular …, 2022 - Elsevier
Abstract N 7-methylguanosine (m7G) is an essential, ubiquitous, and positively charged
modification at the 5′ cap of eukaryotic mRNA, modulating its export, translation, and …

MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction

W Zeng, A Gautam, DH Huson - GigaScience, 2023 - academic.oup.com
Transformer-based language models are successfully used to address massive text-related
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

X Tang, P Zheng, X Li, H Wu, DQ Wei, Y Liu, G Huang - Methods, 2022 - Elsevier
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 …

DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method

M Nabeel Asim, M Ali Ibrahim, A Fazeel… - Briefings in …, 2023 - academic.oup.com
Accurate prediction of deoxyribonucleic acid (DNA) modifications is essential to explore and
discern the process of cell differentiation, gene expression and epigenetic regulation …

Systematic analysis and accurate identification of DNA N4-methylcytosine sites by deep learning

L Yu, Y Zhang, L Xue, F Liu, Q Chen, J Luo… - Frontiers in …, 2022 - frontiersin.org
DNA N4-methylcytosine (4mC) is a pivotal epigenetic modification that plays an essential
role in DNA replication, repair, expression and differentiation. To gain insight into the …

Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique

H Zulfiqar, Z Ahmed… - Frontiers in …, 2023 - frontiersin.org
Promotors are those genomic regions on the upstream of genes, which are bound by RNA
polymerase for starting gene transcription. Because it is the most critical element of gene …

An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences

M Tahir, S Hussain, FK Alarfaj - Computers in Biology and Medicine, 2024 - Elsevier
Abstract N4-methylcytosine (4mC) is a chemical modification that occurs on one of the four
nucleotide bases in DNA and plays a vital role in DNA expression, repair, and replication. It …

iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylation

X Yu, C Yani, Z Wang, H Long, R Zeng, X Liu, B Anas… - PloS one, 2024 - journals.plos.org
In this study, from the perspective of image processing, we propose the iDNA-ITLM model,
using a novel data enhance strategy by continuously self-replicating a short DNA sequence …

6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site

G Huang, X Huang, W Luo - BioData Mining, 2023 - Springer
Abstract DNA N6-adenine methylation (N6-methyladenine, 6mA) plays a key regulating role
in the cellular processes. Precisely recognizing 6mA sites is of importance to further explore …

PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites

M Wang, J Xie, PW Grant, S Xu - Information Sciences, 2022 - Elsevier
Abstract Identifying DNA N4-methylcytosine (4mC) sites is an essential step to study the
biological functional mechanism. Feature representation is the primary step to identify 4mC …