Jonathan Raad

  • Doctoral Scholarship, CONICET

Research Interests

  • Machine learning
  • Bioinformatics

Advisor

Coadvisor

Latest Publicactions

Transfer learning: The key to functionally annotate the protein universe
  • L. A. Bugnon
  • E. Fenoy
  • A. Edera
  • J. Raad
  • G. Stegmayer
  • D. H. Milone

Patterns - 2023

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches
  • L. A. Bugnon
  • A. Edera
  • S. Prochetto
  • M. Gerard
  • J. Raad
  • E. Fenoy
  • M. Rubiolo
  • U. Chorostecki
  • G. Gabaldon
  • F. Ariel
  • L. Di Persia
  • D. H. Milone
  • G. Stegmayer

Briefing in Bioinformatics - 2022

miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs
  • J. Raad
  • L. A. Bugnon
  • D. H. Milone
  • G. Stegmayer

Bioinformatics - 2021

Deep Learning for the discovery of new pre-miRNAs: helping the fight against COVID-19
  • L. A. Bugnon
  • J. Raad
  • G. Merino
  • C. Yones
  • F. Ariel
  • D. H. Milone
  • G. Stegmayer

Machine Learning with Applications - 2021

High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks
  • C. Yones
  • J. Raad
  • L. A. Bugnon
  • D. H. Milone
  • G. Stegmayer

Computers in Biology and Medicine - 2021

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

More Publications

Personal Contact

  • Phone: +54 (342) 4575233/34, ext. 190
  • Office number: 9
  • E-mail: jraad@sinc.unl.edu.ar