Georgina Stegmayer

  • Principal 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:

Coadvisor of

Latest Publicactions

Evaluating large language models for annotating proteins
  • R. Vitale
  • L. A. Bugnon
  • E. Fenoy
  • D. H. Milone
  • G. Stegmayer

Briefings in Bioinformatics - 2024

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

Hierarchical deep learning for predicting GO annotations by integrating protein knowledge
  • G. Merino
  • R. Saidi
  • D. H. Milone
  • G. Stegmayer
  • M. Martín

Bioinformatics - aug 2022

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

More Publications

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