1 code implementation • 21 Nov 2023 • Jesus de la Fuente, Guillermo Serrano, Uxía Veleiro, Mikel Casals, Laura Vera, Marija Pizurica, Antonio Pineda-Lucena, Idoia Ochoa, Silve Vicent, Olivier Gevaert, Mikel Hernaez
In this work, we first perform an in-depth evaluation of current DTI datasets and prediction models through a robust benchmarking process, and show that DTI prediction methods based on transductive models lack generalization and lead to inflated performance when evaluated as previously done in the literature, hence not being suited for drug repurposing approaches.
1 code implementation • 20 Nov 2023 • Jesus de la Fuente, Naroa Legarra, Guillermo Serrano, Irene Marin-Goni, Aintzane Diaz-Mazkiaran, Markel Benito Sendin, Ana Garcia Osta, Krishna R. Kalari, Carlos Fernandez-Granda, Idoia Ochoa, Mikel Hernaez
Also, we demonstrate that Sweetwater effectively uncovers biologically meaningful patterns during the training process, increasing the reliability of the results.