Guillermo Leale

  • Doctoral Scholarship (Type I) from National Council of Scientific and Technical Research (CONICET)
  • Teaching Assistant, National Technological University

Research Interests

  • Bioinformatics
  • Machine learning
  • Clustering

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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

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

New approach for biological clustering based on Gene Ontology
  • G. Leale
  • D. H. Milone
  • A Bayá
  • P. Granitto
  • G. Stegmayer

4to. Congreso Argentino de Bioinformática y Biología Computacional (4CAB2C) - 2013

A novel clustering approach for biological data using a new distance based on Gene Ontology
  • G. Leale
  • D. H. Milone
  • A Bayá
  • P. Granitto
  • G. Stegmayer

Argentine Symposium on Artificial Intelligence (ASAI 2013) - 42º JAIIO - 2013

More Publications

Personal Contact

  • Phone: +54 (342) 4575233/34 ext 120
  • Office Number: 6
  • e-mail: guileale@santafe-conicet.gov.ar