Georgina Stegmayer

  • Adjunct Researcher, CONICET
  • Adjunct Professor, Department of Informatics, FICH-UNL
  • Leader of the Bioinformatics Research Group: computer science and machine learning people that, essentially, make algorithms for biological data integration/fusion/analysis. We develop novel data mining algorithms and computing tools, intelligent algorithms for biological data fusion, integration and new knowledge discovery. Research lines in bioinformatics:
    • Gene function prediction and automatic inference of GO annotations to genes
    • Gene regulatory networks reconstruction from gene data
    • De-novo metabolic pathways search
    • Pre-miRNA prediction algorithms from genome-wide data
    • Data fusion and inference from heterogeneous biological sources

Research Interests

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


Courses on Engineering Informatics:

Latest Publicactions

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

Genome-wide pre-miRNA discovery from few labeled examples
  • C. Yones
  • G. Stegmayer
  • D. H. Milone

Bioinformatics - 2017

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