• INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping 

      Cacciabue, Marco Polo Domingo; Marcone, Débora Natalia (Wiley, 2023-01)
      Influenza viruses are one of the main agents causing acute respiratory infections (ARI) in humans resulting in a large amount of illness and death globally.1, 2 The influenza viruses classification is based on the nomenclature ...
    • Relevant loci for milk production in dairy cattle, obtained by machine learning algorithms 

      Raschia, Maria Agustina; Ríos, Pablo J.; Maizon, Daniel Omar; Demitrio, Daniel Arturo; Poli, Mario Andres (Network of Women in Bioinformatics and Data Science, 2021-09)
      Background: Extensive genetic research focused on identifyng associations between single nucleotide polymorphism (SNP) markers located all over the genome and milk traits were conducted for different dairy cattle breeds. ...
    • Sunpheno : a deep neural network for phenological classification of sunflower images 

      Bengoa Luoni, Sofía Ailin; Ricci, Riccardo; Corzo, Melanie Anahi; Hoxha, Genc; Melgani, Farid; Fernandez, Paula Del Carmen (MDPI, 2024-07)
      Leaf senescence is a complex trait which becomes crucial for grain filling because photoassimilates are translocated to the seeds. Therefore, a correct sync between leaf senescence and phenological stages is necessary to ...
    • ViralPlaque: a Fiji macro for automated assessment of viral plaque statistics 

      Cacciabue, Marco Polo; Curra, Anabella Paola; Gismondi, Maria Ines (PeerJ, 2019-09)
      laque assay has been used for a long time to determine infectious titers and characterize prokaryotic and eukaryotic viruses forming plaques. Indeed, plaque morphology and dimensions can provide information regarding the ...