Learning complex dependency structure of gene regulatory networks from high dimensional microarray data with gaussian bayesian networks

HIGHLIGHTS

• who: Catharina E. Graafland from the InstitutUniversidad de Cantabria, Avenida de Los Castros, Santander, Spain have published the research: Learning complex dependency structure of gene regulatory networks from high dimensional microarray data with Gaussian Bayesian networks, in the Journal: Scientific Reports Scientific Reports
• what: The authors evaluate the algorithms on real-world M3D data using evaluation measures chosen in alignment with the nature of real-world datasets and the focus of this work: complex gene_expression datasets of low sample size without background knowledge on which the authors want to chart the exploratory capability of the . . .
  

   

  

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