Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer.

Edgar Manzanarez-OzunaDora-Luz FloresEverardo Gutiérrez-LópezDavid CervantesPatricia Juárez

Published in: Theoretical biology & medical modelling (2018)

We developed a genetic algorithm to select best features as DNN inputs (miRNAs). The genetic algorithm also builds the best DNN architecture by optimizing the parameters. Although the confirmation of the results by laboratory experiments has not occurred, the results allow suggesting that miRNAs profile could be used as biomarkers or targets in targeted therapies.

Keyphrases

machine learning
deep learning
poor prognosis
pet ct
binding protein
copy number
epithelial mesenchymal transition
neural network
gene expression
signaling pathway