https://www.selleckchem.com/pr....oducts/Roscovitine.h
Our results show that higher classification accuracies across multiple classification models can be obtained (especially for models based on artificial neural networks) from multi-site data post harmonization with the ComBat technique as compared to without harmonization, outperforming earlier results from existing studies using ABIDE. Furthermore, our network ablation analysis facilitated important insights into ASD pathology and the connectivity in networks shown to be important for classification covaried with verbal communicatio
Curtir
Comentario
Compartilhar
