BECAS
RAAD Jonathan
artículos
BUGNON, LEANDRO A.; FENOY, EMILIO; EDERA, ALEJANDRO A.; RAAD, JONATHAN; STEGMAYER, GEORGINA; MILONE, DIEGO H.
Transfer learning: The key to functionally annotate the protein universe
Patterns; Lugar: Cambridge; Año: 2023 vol. 4
RAAD, JONATHAN; BUGNON, LEANDRO A; MILONE, DIEGO H; STEGMAYER, GEORGINA
miRe2e: a full end-to-end deep model based on Transformers for prediction of pre-miRNAs
BIOINFORMATICS (OXFORD, ENGLAND); Año: 2021
YONES, C.; RAAD, J.; BUGNON, L.A.; MILONE, D.H.; STEGMAYER, G.
High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks
COMPUTERS IN BIOLOGY AND MEDICINE; Año: 2021
BUGNON, L.A.; RAAD, J.; MERINO, G.A.; YONES, C.; ARIEL, F.; MILONE, D.H.; STEGMAYER, G.
Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19
Machine Learning with Applications; Año: 2021 vol. 6
BUGNON, L A; YONES, C; RAAD, J; GERARD, M; RUBIOLO, M; MERINO, G; PIVIDORI, M; DI PERSIA, L; MILONE, D H; STEGMAYER, G
DL4papers: a deep learning approach for the automatic interpretation of scientific articles
BIOINFORMATICS (OXFORD, ENGLAND); Año: 2020 vol. 36 p. 3499 - 3506
MERINO, GABRIELA A; RAAD, JONATHAN; BUGNON, LEANDRO A; YONES, CRISTIAN; KAMENETZKY, LAURA; CLAUS, JUAN; ARIEL, FEDERICO; MILONE, DIEGO H; STEGMAYER, GEORGINA
Novel SARS-CoV-2 encoded small RNAs in the passage to humans
BIOINFORMATICS (OXFORD, ENGLAND); Año: 2020
RAAD, JONATHAN; STEGMAYER, GEORGINA; MILONE, DIEGO H
Complexity measures of the mature miRNA for improving pre-miRNAs prediction
BIOINFORMATICS (OXFORD, ENGLAND); Año: 2019
BUGNON, L.A.; YONES, C.; RAAD, J.; MILONE, D.H.; STEGMAYER, G.
Genome-wide hairpins datasets of animals and plants for novel miRNA prediction
Data in Brief; Lugar: Amsterdam; Año: 2019 vol. 25
STEGMAYER, GEORGINA; DI PERSIA, LEANDRO E; RUBIOLO, MARIANO; GERARD, MATIAS; PIVIDORI, MILTON; YONES, CRISTIAN; BUGNON, LEANDRO A; RODRIGUEZ, TADEO; RAAD, JONATHAN; MILONE, DIEGO H
Predicting novel microRNA: a comprehensive comparison of machine learning approaches
BRIEFINGS IN BIOINFORMATICS; Año: 2018