Big data and deep learning for RNA biology

H Hwang, H Jeon, N Yeo, D Baek - Experimental & Molecular Medicine, 2024 - nature.com
The exponential growth of big data in RNA biology (RB) has led to the development of deep
learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL …

Deep learning approaches for lncRNA-mediated mechanisms: a comprehensive review of recent developments

Y Kim, M Lee - International journal of molecular sciences, 2023 - mdpi.com
This review paper provides an extensive analysis of the rapidly evolving convergence of
deep learning and long non-coding RNAs (lncRNAs). Considering the recent advancements …

iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module

J Jia, R Lei, L Qin, G Wu, X Wei - Frontiers in Genetics, 2023 - frontiersin.org
Enhancers play a crucial role in controlling gene transcription and expression. Therefore,
bioinformatics puts many emphases on predicting enhancers and their strength. It is vital to …

DeepCIP: a multimodal deep learning method for the prediction of internal ribosome entry sites of circRNAs

Y Zhou, J Wu, S Yao, Y Xu, W Zhao, Y Tong… - Computers in Biology …, 2023 - Elsevier
Circular RNAs (circRNAs) have been found to have the ability to encode proteins through
internal ribosome entry sites (IRESs), which are essential RNA regulatory elements for cap …

Deepm6A-MT: A deep learning-based method for identifying RNA N6-methyladenosine sites in multiple tissues

G Huang, X Huang, J Jiang - Methods, 2024 - Elsevier
Abstract N6-methyladenosine (m6A) is the most prevalent, abundant, and conserved
internal modification in the eukaryotic messenger RNA (mRNAs) and plays a crucial role in …

iPro2L-DG: Hybrid network based on improved densenet and global attention mechanism for identifying promoter sequences

R Lei, J Jia, L Qin, X Wei - Heliyon, 2024 - cell.com
The promoter is a key DNA sequence whose primary function is to control the initiation time
and the degree of expression of gene transcription. Accurate identification of promoters is …

A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs

B Diao, J Luo, Y Guo - Briefings in Functional Genomics, 2024 - academic.oup.com
Long noncoding RNAs (lncRNAs) have been discovered to be extensively involved in
eukaryotic epigenetic, transcriptional, and post-transcriptional regulatory processes with the …

Employing bimodal representations to predict DNA bendability within a self-supervised pre-trained framework

M Yang, S Zhang, Z Zheng, P Zhang… - Nucleic Acids …, 2024 - academic.oup.com
The bendability of genomic DNA, which measures the DNA loo** rate, is crucial for
numerous biological processes of DNA. Recently, an advanced high-throughput technique …

GraphPro: An interpretable graph neural network-based model for identifying promoters in multiple species

Q Zhang, Y Wei, L Liu - Computers in Biology and Medicine, 2024 - Elsevier
Promoters are DNA sequences that bind with RNA polymerase to initiate transcription,
regulating this process through interactions with transcription factors. Accurate identification …

A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding

W Hu, Y Li, Y Wu, L Guan, M Li - Iscience, 2024 - cell.com
Enhancers, genomic DNA elements, regulate neighboring gene expression crucial for
biological processes like cell differentiation and stress response. However, current machine …