Prediction of mirna-disease associations using an evolutionary tuned latent semantic analysis

HIGHLIGHTS

• who: Denis Pallez from the Université Côte d'Azur, CNRS, I S, Sophia Antipolis, France BIOMANDA, Chemin St Bernard, Les Moulins have published the Article: Prediction of miRNA-disease Associations using an Evolutionary Tuned Latent Semantic Analysis, in the Journal: Scientific Reports Scientific Reports of 21/04/2017
• what: In this study a parallel evolutionary algorithm is proposed for finding an optimal configuration of the predictive method. The improvement brought by the tuning of MiRAI using an EA is more significative if the authors compare the results obtained for all 83 diseases, since the . . .
  

   

  

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