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Ramon Viñas

Showing results (1-10 of 10) with videos related to

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Frontiers in Genetics|October 4, 2021
Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital TwinPietro Barbiero, Ramon Viñas Torné, Pietro Lió
Frontiers in Genetics|April 30, 2021
Deep Learning Enables Fast and Accurate Imputation of Gene ExpressionRamon Viñas, Tiago Azevedo, Eric R Gamazon, et al.
Bioinformatics (Oxford, England)|January 20, 2021
Adversarial generation of gene expression dataRamon Viñas, Helena Andrés-Terré, Pietro Liò, et al.
Nature Machine Intelligence|September 29, 2023
Hypergraph factorization for multi-tissue gene expression imputationRamon Viñas, Chaitanya K Joshi, Dobrik Georgiev, et al.
Bioinformatics (Oxford, England)|December 10, 2021
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biasesPaul Scherer, Maja Trębacz, Nikola Simidjievski, et al.
Nature Biotechnology|August 25, 2025
Systema: a framework for evaluating genetic perturbation response prediction beyond systematic variationRamon Viñas Torné, Maciej Wiatrak, Zoe Piran, et al.
Biorxiv : the Preprint Server for Biology|June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse designChaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Arxiv|June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse designChaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Nature Cancer|February 5, 2022
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosisYu Fu, Alexander W Jung, Ramon Viñas Torne, et al.
Communications Medicine|October 6, 2023
The impact of imputation quality on machine learning classifiers for datasets with missing valuesTolou Shadbahr, Michael Roberts, Jan Stanczuk, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Genetics|October 4, 2021
Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital TwinPietro Barbiero, Ramon Viñas Torné, Pietro Lió
Frontiers in Genetics|April 30, 2021
Deep Learning Enables Fast and Accurate Imputation of Gene ExpressionRamon Viñas, Tiago Azevedo, Eric R Gamazon, et al.
Bioinformatics (Oxford, England)|January 20, 2021
Adversarial generation of gene expression dataRamon Viñas, Helena Andrés-Terré, Pietro Liò, et al.
Nature Machine Intelligence|September 29, 2023
Hypergraph factorization for multi-tissue gene expression imputationRamon Viñas, Chaitanya K Joshi, Dobrik Georgiev, et al.
Bioinformatics (Oxford, England)|December 10, 2021
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biasesPaul Scherer, Maja Trębacz, Nikola Simidjievski, et al.
Nature Biotechnology|August 25, 2025
Systema: a framework for evaluating genetic perturbation response prediction beyond systematic variationRamon Viñas Torné, Maciej Wiatrak, Zoe Piran, et al.
Biorxiv : the Preprint Server for Biology|June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse designChaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Arxiv|June 3, 2024
gRNAde: Geometric Deep Learning for 3D RNA inverse designChaitanya K Joshi, Arian R Jamasb, Ramon Viñas, et al.
Nature Cancer|February 5, 2022
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosisYu Fu, Alexander W Jung, Ramon Viñas Torne, et al.
Communications Medicine|October 6, 2023
The impact of imputation quality on machine learning classifiers for datasets with missing valuesTolou Shadbahr, Michael Roberts, Jan Stanczuk, et al.
Pageof 1