[HTML][HTML] Machine learning in nutrient management: A review

O Ennaji, L Vergütz, A El Allali - Artificial Intelligence in Agriculture, 2023 - Elsevier
In agriculture, precise fertilization and effective nutrient management are critical. Machine
learning (ML) has recently been increasingly used to develop decision support tools for …

Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning

P Acera Mateos, Y Zhou, K Zarnack… - Briefings in …, 2023 - academic.oup.com
The expanding field of epitranscriptomics might rival the epigenome in the diversity of
biological processes impacted. In recent years, the development of new high-throughput …

EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction

H Wang, H Liu, T Huang, G Li, L Zhang, Y Sun - BMC bioinformatics, 2022 - Springer
Background Recent research recommends that epi-transcriptome regulation through post-
transcriptional RNA modifications is essential for all sorts of RNA. Exact identification of RNA …

Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach

M Harun-Or-Roshid, K Maeda, B Manavalan… - Computers in Biology …, 2024 - Elsevier
Dihydrouridine (DHU, D) is one of the most abundant post-transcriptional uridine
modifications found in tRNA, mRNA, and snoRNA, closely associated with disease …

[HTML][HTML] Novel insights into noncanonical open reading frames in cancer

Y Liu, S Zeng, M Wu - Biochimica et Biophysica Acta (BBA)-Reviews on …, 2022 - Elsevier
With technological advances, previously neglected noncanonical open reading frames
(nORFs) are drawing ever-increasing attention. However, the translation potential of …

EMDL-ac4C: identifying N4-acetylcytidine based on ensemble two-branch residual connection DenseNet and attention

J Jia, Z Wei, X Cao - Frontiers in Genetics, 2023 - frontiersin.org
Introduction: N4-acetylcytidine (ac4C) is a critical acetylation modification that has an
essential function in protein translation and is associated with a number of human diseases …

Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation

D Huang, K Chen, B Song, Z Wei, J Su… - Nucleic acids …, 2022 - academic.oup.com
As the most pervasive epigenetic mark present on mRNA and lncRNA, N6-methyladenosine
(m6A) RNA methylation regulates all stages of RNA life in various biological processes and …

Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes

Y Song, Y Wang, X Wang, D Huang… - Briefings in …, 2023 - academic.oup.com
Post-and co-transcriptional RNA modifications are found to play various roles in regulating
essential biological processes at all stages of RNA life. Precise identification of RNA …

Fitness Landscapes and Evolution of Catalytic RNA

R Saha, A Vázquez-Salazar, A Nandy… - Annual Review of …, 2024 - annualreviews.org
The relationship between genotype and phenotype, or the fitness landscape, is the
foundation of genetic engineering and evolution. However, map** fitness landscapes …

Dynamic regulation and key roles of ribonucleic acid methylation

J Zou, H Liu, W Tan, Y Chen, J Dong, S Bai… - Frontiers in Cellular …, 2022 - frontiersin.org
Ribonucleic acid (RNA) methylation is the most abundant modification in biological systems,
accounting for 60% of all RNA modifications, and affects multiple aspects of RNA (including …