Prediction of m6A and m5C at single-molecule resolution reveals a transcriptome-wide co-occurrence of RNA modifications P Acera Mateos, A J Sethi, A Ravindran, A Srivastava, K Woodward, ... Nature Communications 15 (1), 3899, 2024 | 29* | 2024 |
PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses P Acera Mateos, RF Balboa, S Easteal, E Eyras, HR Patel Scientific reports 11 (1), 3209, 2021 | 20 | 2021 |
Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning P Acera Mateos, Y Zhou, K Zarnack, E Eyras Briefings in Bioinformatics 24 (3), bbad163, 2023 | 8 | 2023 |
Language-informed basecalling architecture for nanopore direct rna sequencing A Sneddon, PA Mateos, N Shirokikh, E Eyras Machine Learning in Computational Biology, 150-165, 2022 | 4 | 2022 |
Biochemical and biophysical characterization of the RVB-1/RVB-2 protein complex, the RuvBL/RVB homologues in Neurospora crassa JEM Campanella, SLR Junior, VTR Kiraly, AAS Gomes, AC de Barros, ... Biochimie 191, 11-26, 2021 | 4 | 2021 |
R2Dtool: Positional interpretation of RNA-centric information in the context of transcriptomic and genomic features AJ Sethi, PA Mateos, R Hayashi, N Shirokikh, E Eyras bioRxiv, 2022.09. 23.509222, 2022 | 2 | 2022 |
Right oncogene, wrong tumor-CBL mutations in pediatric CNS and solid tumors LM Brown, C Mayoh, PA Mateos, A De Weck, R Salomon, T Sadras, ... Cancer Research 84 (6_Supplement), 1770-1770, 2024 | | 2024 |
Development of deep learning models for RNA modification detection using Nanopore sequencing PA Mateos PQDT-Global, 2023 | | 2023 |