| 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 |
| Deep neural architectures for highly imbalanced data in bioinformatics LA Bugnon, C Yones, DH Milone, G Stegmayer IEEE Transactions on Neural Networks and Learning Systems 31 (8), 2857-2867, 2019 | 45 | 2019 |
| High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM G Stegmayer, C Yones, L Kamenetzky, DH Milone IEEE/ACM transactions on computational biology and bioinformatics 14 (6 …, 2016 | 38 | 2016 |
| Portación nasal de Staphylococcus aureus en individuos de la comunidad: factores epidemiológicos S Fosch, C Yones, M Trossero, O Grosso, A Nepote Acta bioquímica clínica latinoamericana 46 (1), 59-68, 2012 | 35 | 2012 |
| miRNAfe: a comprehensive tool for feature extraction in microRNA prediction CA Yones, G Stegmayer, L Kamenetzky, DH Milone Biosystems 138, 1-5, 2015 | 34 | 2015 |
| Alternative use of miRNA-biogenesis co-factors in plants at low temperatures DA Ré, PLM Lang, C Yones, AL Arce, G Stegmayer, D Milone, ... Development 146 (5), dev172932, 2019 | 27 | 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 |
| Genome-wide pre-miRNA discovery from few labeled examples C Yones, G Stegmayer, DH Milone Bioinformatics 34 (4), 541-549, 2018 | 21 | 2018 |
| MicroRNA discovery in the human parasite Echinococcus multilocularis from genome-wide data L Kamenetzky, G Stegmayer, L Maldonado, N Macchiaroli, C Yones, ... Genomics 107 (6), 274-280, 2016 | 17 | 2016 |
| Influence of contraception on basic vaginal states: A prospective study SE Fosch, C Yones, M Trossero, O Grosso, B Perazzi Health 7 (2), 238-244, 2015 | 17 | 2015 |
| Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning LA Bugnon, C Yones, DH Milone, G Stegmayer Briefings in bioinformatics 22 (3), bbaa184, 2021 | 16 | 2021 |
| Identification and expression profiling of microRNAs in Hymenolepis N Macchiaroli, M Cucher, L Kamenetzky, C Yones, L Bugnon, M Berriman, ... International journal for parasitology 49 (3-4), 211-223, 2019 | 16 | 2019 |
| 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 | 15 | 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 |
| The influence of different contraceptive methods on vaginal microbiota: Clinical study SE Fosch, C Yones, M Trossero, O Grosso Health 5 (7), 19-24, 2013 | 10 | 2013 |
| 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 |
| HextractoR: an R package for automatic extraction of hairpins from genome-wide data C Yones, N Macchiaroli, L Kamenetzky, G Stegmayer, D Milone bioRxiv, 2020.10. 09.333898, 2020 | 3 | 2020 |
| Computational prediction of novel miRNAs from genome-wide data G Stegmayer, C Yones, L Kamenetzky, N Macchiaroli, DH Milone Functional Genomics: Methods and Protocols, 29-37, 2017 | 2 | 2017 |
| Nasal carriage of Staphylococcus aureus in community individuals: epidemiological factors S Fosch, C Yones, M Trossero, O Grosso, A Nepote ACTA BIOQUIMICA CLINICA LATINOAMERICANA 46 (1), 59-67, 2012 | 2 | 2012 |
Diego H. MiloneFull Professor UNL. Principal Investigator CONICET.在 sinc.unl.edu.ar 的电子邮件经过验证
