- Doctoral Scholarship, CONICET
Research Interests
- Machine learning
- Bioinformatics
Advisor
Coadvisor
Latest Publicactions
Novel SARS-CoV-2 encoded small RNAs in the passage to humans
- G. Merino
- J. Raad
- L. A. Bugnon
- C. Yones
- L. Kamenetzky
- J. Claus
- F. Ariel
- D. H. Milone
- G. Stegmayer
Bioinformatics - 11 2020
DL4papers: a deep learning approach for the automatic interpretation of scientific articles
- L. A. Bugnon
- C. Yones
- J. Raad
- M. Gerard
- M. Rubiolo
- G. Merino
- M. Pividori
- L. Di Persia
- D. H. Milone
- G. Stegmayer
Oxford Bioinformatics - 2020
Complexity measures of the mature miRNA for improving pre-miRNAs prediction
- J. Raad
- G. Stegmayer
- D. H. Milone
Bioinformatics - 2020
MicroRNA prediction from genome-wide data with deep learning: a novel approach based on convolutional residual networks
- C. Yones
- L. A. Bugnon
- J. Raad
- D. H. Milone
- G. Stegmayer
A2B2C 10th Meeting - 2019
Deep learning for reading and interpreting biomedical papers
- L. A. Bugnon
- C. Yones
- J. Raad
- M. Gerard
- M. Rubiolo
- G. Merino
- M. Pividori
- L. Di Persia
- D. H. Milone
- G. Stegmayer
A2B2C 10th Meeting - 2019
Improving pre-miRNA prediction with complexity measures of the mature and deep learning
- J. Raad
- D. H. Milone
- G. Stegmayer
A2B2C 10th Meeting - 2019
Genome-wide hairpins datasets of animals and plants for novel miRNA prediction
- L. A. Bugnon
- C. Yones
- J. Raad
- D. H. Milone
- G. Stegmayer
Data in Brief (in press) - 2019
More Publications
Personal Contact
- Phone: +54 (342) 4575233/34, ext. 190
- Office number: 9
- E-mail: jraad@sinc.unl.edu.ar