Ramon Viñas Torné
Ramon Viñas Torné
Email verificata su cam.ac.uk
Titolo
Citata da
Citata da
Anno
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Y Fu, AW Jung, RV Torne, S Gonzalez, H Vöhringer, A Shmatko, LR Yates, ...
Nature Cancer 1 (8), 800-810, 2020
482020
Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction
B López, F Torrent-Fontbona, R Viñas, JM Fernández-Real
Artificial intelligence in medicine 85, 43-49, 2018
402018
Graph representation forecasting of patient's medical conditions: towards a digital twin
P Barbiero, RV Torné, P Lió
arXiv preprint arXiv:2009.08299, 2020
12020
Adversarial generation of gene expression data
R Viñas Torné, H Andrés-Terré, P Lio, K Bryson
Oxford University Press (OUP), 2021
2021
Deep learning enables fast and accurate imputation of gene expression across tissues
R Viñas Torné, T Azevedo, E Gamazon, P Lio
Frontiers in Genetics 12, 489, 2021
2021
Kolmogorov Regularization for Link Prediction
PDL Flood, R Viñas, P Liò
arXiv preprint arXiv:2006.04258, 2020
2020
Handling Missing Phenotype Data with Random Forests for Diabetes Risk Prognosis
B López Ibáñez, R Vinas, F Torrent-Fontbona, JM Fernández-Real Lemos
© López, B., Herrero, P., Martin, C.(eds).(2016). AID: Artificial …, 2016
2016
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction
PDL Flood, R Viñas, P Liò
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–8