Ramón Viñas

École Polytechnique Fédérale de Lausanne — Switzerland

Biochemistry, Genetics and Molecular Biology · Life Sciences

10h-index1.1kcitations36works4.32yr avg
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Research Topics

Bioinformatics and Genomic Networks(11), Gene expression and cancer classification(8), Advanced Graph Neural Networks(4), Single-cell and spatial transcriptomics(4), Cell Image Analysis Techniques(4)

Publications36 total

Single-cell phenomics through integrated imaging and molecular profiling
2025Open Access
Systema: a framework for evaluating genetic perturbation response prediction beyond systematic variation
Nature Biotechnology·2025· 13 citedOpen Access
A contextualised protein language model reveals the functional syntax of bacterial evolution
2025· 3 citedOpen Access
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
arXiv (Cornell University)·2024· 1 citedOpen Access
The impact of imputation quality on machine learning classifiers for datasets with missing values
Communications Medicine·2023· 94 citedOpen Access
Hypergraph factorization for multi-tissue gene expression imputation
Nature Machine Intelligence·2023· 27 citedOpen Access
Spatio-relational inductive biases in spatial cell-type deconvolution
2023Open Access
GTEx v8 metadata
Figshare·2023Open Access
Hypergraph Factorisation Expression Quantitative Trait Loci
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Processed GTEx data
Figshare·2023Open Access
Hypergraph Factorisation Expression Quantitative Trait Loci
2023Open Access
Processed GTEx v8 data
Figshare·2023Open Access
A Graph-based Imputation Method for Sparse Medical Records
Studies in computational intelligence·2022· 3 cited
Hypergraph factorisation for multi-tissue gene expression imputation
2022· 1 citedOpen Access
Classification of datasets with imputed missing values: does imputation quality matter?
arXiv (Cornell University)·2022· 7 citedOpen Access
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
Bioinformatics·2021· 2 citedOpen Access
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution
arXiv (Cornell University)·2021Open Access
An investigation of pre-upsampling generative modelling and Generative\n Adversarial Networks in audio super resolution
arXiv (Cornell University)·2021· 2 citedOpen Access
Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin
Frontiers in Genetics·2021· 75 citedOpen Access
Graph Representation Learning on Tissue-Specific Multi-Omics
arXiv (Cornell University)·2021· 3 citedOpen Access
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Frequent Co-authors

Píetro Lió(24), Eric R. Gamazon(6), Helena Andrés-Terré(4), Chaitanya K. Joshi(4), Dobrik Georgiev(4), Bianca Dumitrascu(4), Pietro Barbiero(3), P. Charles Lin(3), Maria Brbić(3), Nikola Simidjievski(3), Yu Fu(2), Alexander W. Jung(2), Santiago González(2), Harald Vöhringer(2), Artem Shmatko(2), Lucy Yates(2), Mercedes Jimenez‐Liñan(2), Luiza Moore(2), Moritz Gerstung(2), Tolou Shadbahr(2)