Bioinformatics | Computational Biology | Molecular Biology Understanding YTHDF2-mediated mRNA degradation by m6A-BERT-Deg. April 17, 2024
Bioinformatics | Genetics | Plant Biology PEA-m6A: an ensemble learning framework for accurately predicting N6-methyladenosine modifications in plants. March 1, 2024
Bioinformatics | Oncology | Pathology Development and verification of a deep learning-based mA modification model for clinical prognosis prediction of renal cell carcinoma. August 9, 2023
Bioinformatics | Computational Biology Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning. December 23, 2022
Bioinformatics | Genetics | Molecular Biology DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning. March 20, 2019