| Predicting novel microRNA: a comprehensive comparison of machine learning approaches G Stegmayer, LE Di Persia, M Rubiolo, M Gerard, M Pividori, C Yones, ... Briefings in bioinformatics 20 (5), 1607-1620, 2019 | 49 | 2019 |
| Novel SARS-CoV-2 encoded small RNAs in the passage to humans GA Merino, J Raad, LA Bugnon, C Yones, L Kamenetzky, J Claus, F Ariel, ... Bioinformatics 36 (24), 5571-5581, 2020 | 25 | 2020 |
| Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches LA Bugnon, AA Edera, S Prochetto, M Gerard, J Raad, E Fenoy, ... Briefings in Bioinformatics 23 (4), bbac205, 2022 | 21 | 2022 |
| miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs J Raad, LA Bugnon, DH Milone, G Stegmayer Bioinformatics 38 (5), 1191-1197, 2022 | 16 | 2022 |
| Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19 LA Bugnon, J Raad, GA Merino, C Yones, F Ariel, DH Milone, ... Machine Learning with Applications 6, 100150, 2021 | 16 | 2021 |
| High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks C Yones, J Raad, LA Bugnon, DH Milone, G Stegmayer Computers in Biology and Medicine 134, 104448, 2021 | 14 | 2021 |
| Complexity measures of the mature miRNA for improving pre-miRNAs prediction J Raad, G Stegmayer, DH Milone Bioinformatics 36 (8), 2319-2327, 2020 | 8 | 2020 |
| Genome-wide hairpins datasets of animals and plants for novel miRNA prediction LA Bugnon, C Yones, J Raad, DH Milone, G Stegmayer Data in brief 25, 104209, 2019 | 6 | 2019 |
| DL4papers: a deep learning approach for the automatic interpretation of scientific articles LA Bugnon, C Yones, J Raad, M Gerard, M Rubiolo, G Merino, M Pividori, ... Bioinformatics 36 (11), 3499-3506, 2020 | 4 | 2020 |
| Transfer learning: The key to functionally annotate the protein universe LA Bugnon, E Fenoy, AA Edera, J Raad, G Stegmayer, DH Milone Patterns 4 (2), 2023 | 3 | 2023 |
| sincFold: end-to-end learning of short-and long-range interactions for RNA folding L Bugnon, L Di Persia, M Gerard, J Raad, S Prochetto, E Fenoy, ... | 1 | 2023 |
| sincFold: end-to-end learning of short-and long-range interactions in RNA secondary structure LA Bugnon, L Di Persia, M Gerard, J Raad, S Prochetto, E Fenoy, ... Briefings in Bioinformatics 25 (4), 2024 | | 2024 |
| Nuevos enfoques basados en medidas de complejidad para la detección de secuencias cortas en bioinformática J Raad | | 2021 |
| BIOINFORMATICS GENOME ANALYSIS GA Merino, J Raad, LA Bugnon, C Yones, L Kamenetzky, J Claus, F Ariel, ... | | 2020 |
Diego H. MiloneFull Professor UNL. Principal Investigator CONICET.在 sinc.unl.edu.ar 的电子邮件经过验证
