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


Courses in Engineering Informatics:

Latest Publicactions

Predicting novel microRNA: a comprehensive comparison of machine learning approaches
  • G. Stegmayer
  • L. Di Persia
  • M. Rubiolo
  • M. Gerard
  • M. Pividori
  • C. Yones
  • L. A. Bugnon
  • T. Rodriguez
  • J. Raad
  • D. H. Milone

Briefings in Bioinformatics - 2018

Inferring unknown biological function byintegration of GO annotations and geneexpression data.
  • G. Leale
  • A Bayá
  • D. H. Milone
  • P. Granitto
  • G. Stegmayer

IEEE/ACM Trans. on Comp. Biology and Bioinformatics - 2018

Metabolic pathways design guided by bioinspired metaheuristics
  • M. Gerard
  • G. Stegmayer
  • D. H. Milone

8vo. Congreso Argentino de Bioinformática y Biología Computacional (8CAB2C) - 2017 - 2017

Extreme learning machine prediction under high class imbalance in bioinformatics
  • T. Rodriguez
  • L. Di Persia
  • D. H. Milone
  • G. Stegmayer

Proceedings de XLIII CLEI - 46 JAIIO - 2017

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