Ramon Viñas Torné
University of Cambridge
H-index: 7
Europe-United Kingdom
Top articles of Ramon Viñas Torné
Temporal-Aware and Local-Aggregation Graph Neural Networks
2024/3/28
gRNAde: Geometric Deep Learning for 3D RNA inverse design
bioRxiv
2024
The impact of imputation quality on machine learning classifiers for datasets with missing values
Communications Medicine
2023/10/6
Michael Roberts
H-Index: 7
Ramon Viñas Torné
H-Index: 2
Tuomas Mirtti
H-Index: 17
Jing Tang
H-Index: 10
Carola-Bibiane Schönlieb
H-Index: 27
Graph neural networks for investigating complex diseases: A case study on Parkinson's Disease
2023/7/25
Hypergraph factorization for multi-tissue gene expression imputation
Nature machine intelligence
2023/7
Multi-state rna design with geometric multi-graph neural networks
arXiv preprint arXiv:2305.14749
2023/5/24
NARTI: Neural Algorithmic Reasoning for Trajectory Inference
2023
Spatio-relational inductive biases in spatial cell-type deconvolution
bioRxiv
2023
Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
2022
Ramon Viñas Torné
H-Index: 2
Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
2022
Ramon Viñas Torné
H-Index: 2
Graphein-a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
2022
Attentional Meta-learners for Few-shot Polythetic Classification
2022/6/28
Ramon Viñas Torné
H-Index: 2
Nikola Simidjievski
H-Index: 6
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
Bioinformatics
2022/3/1
An investigation of pre-upsampling generative modelling and generative adversarial networks in audio super resolution
arXiv preprint arXiv:2109.14994
2021/9/30
James King
H-Index: 15
Ramon Viñas Torné
H-Index: 2
Graph representation forecasting of patient's medical conditions: Toward a digital twin
Frontiers in genetics
2021/9/16
Graph representation learning on tissue-specific multi-omics
arXiv preprint arXiv:2107.11856
2021/7/25
Discovering cancer driver genes and pathways using stochastic block model graph neural networks
bioRxiv
2021/6/30
Deep learning enables fast and accurate imputation of gene expression
Frontiers in Genetics
2021/4/13
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
Nature cancer
2020/8
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