Results & Downloads
Using attention-based neural networks to enable explainable drug sensitivity prediction on multimodal data
Published by Manica Matteo; Oskooei Ali; Born Jannis; Subramanian Vigneshwari; Saez-Rodriguez Julio; Rodriguez Martinez Maria
Inferring context specific PPI networks using unsupervised deep learning for text mining
Publishes by Manica Matteo; Mathis Roland; Cadow Joris; Rodriguez Martinez Maria
Interpretability for computational biology
Published by Nguyen An-phi; Rodriguez-Martinez
PIMKL: Pathway Induced Multiple Kernel Learning
Published by Manica Matteo; Cadow Joris; Mathis Roland; Rodriguez Martinez Maria
Interpretable classification of molecular measurements via pathway-induced multiple kernel learning
Publication by Cadow Joris
Interpretability for computational biology
Publication by Nguyen An-phi; Rodriguez-Martinez Maria
Using attention-based neural networks
Publication on enabling explainable drug sensitivity prediction on multimodal data by Manica Matteo; Oskooei Ali; Born Jannis; Subramanian Vigneshwari; Saez-Rodriguez Julio; Rodriguez Martinez Maria
Computer Modeling of Clonal Dominance
Publication on Memory-Anti-Naïve and Its Curbing by Attrition by Castiglione, Filippo; Ghersi, Dario; Celada, Franco.
From causal pathways to drug-response targets
Presentation from Rosa Hernansaiz Ballesteros on multi-omic analysis to contextualise large signalling networks on 6th June 2019 at EMBL-EBI, Hixton, UK.
Video
Find out more about identifying effective personalized medicine for paediatric cancer in the explanatory video.
