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 Interest

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

Teaching

Courses on Engineering Informatics:

Advisor of

Co-advisor of

Latest Publicactions

Bio-inspired metaheuristics for automatic synthesis of novel metabolic pathways
  • M. Gerard
  • G. Stegmayer
  • D. H. Milone

4th ISCB-LA Bioinformatics Conference - 2016

A novel approach for highly-diverse multi-omics data fusion applied to tomato germplasm selection
  • M. Pividori
  • G. Stegmayer
  • A. Cernadas
  • M. Conte
  • F. Carrari
  • D. H. Milone

4th ISCB-LA Bioinformatics Conference - 2016

Discovery of novel pre-miRNAs: unsupervised versus supervised machine learning
  • G. Stegmayer
  • D. H. Milone

4th ISCB-LA Bioinformatics Conference - 2016

Novel microRNA discovery from genome-wide data: a computational pipeline with unsupervised machine learning
  • G. Stegmayer
  • C. Yones
  • L. Kamenetzky
  • N. Macchiaroli
  • M. Perez
  • M. C. Rosenzvit
  • D. H. Milone

4th ISCB-LA Bioinformatics Conference - 2016

Non-negative matrix factorization for prediction of gene annotations
  • L. Di Persia
  • G. Leale
  • G. Stegmayer
  • D. H. Milone

4th ISCB-LA Bioinformatics Conference - 2016

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