Georgina Stegmayer

  • Independent Researcher, CONICET
  • Assistant Professor, Department of Informatics, FICH-UNL
  • Leader of the Bioinformatics Research Group: computer science and machine learning people who essentially make algorithms for the integration, fusion and analysis of biological data. We develop novel data mining algorithms and computing tools, as well as intelligent algorithms, for biological data fusion and integration, and for new knowledge discovery.

Research lines in bioinformatics:

  • Gene function prediction – inference of GO annotations to genes
  • Gene regulatory network reconstruction
  • Metabolic engineering
  • Pre-miRNA prediction algorithms from genome-wide data
  • Data fusion and integration of biological sources

Research Interests

  • Bioinformatics
  • Machine learning
  • Neural networks
  • Data mining
  • Clustering

Teaching

Courses in Engineering Informatics:

Latest Publicactions

exp2GO: improving prediction of functions in the Gene Ontology with expression data
  • L. Di Persia
  • T. López
  • A. A. Arce
  • D. H. Milone
  • G. Stegmayer

IEEE/ACM Transactions on Computational Biology and Bioinformatics - 2022

Anc2vec: embedding gene ontology terms by preserving ancestors relationships
  • A. Edera
  • D. H. Milone
  • G. Stegmayer

Briefings in Bioinformatics - feb 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

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