Ramón Viñas
École Polytechnique Fédérale de Lausanne(CH)
Publications by Year
Research Areas
Bioinformatics and Genomic Networks, Gene expression and cancer classification, Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, Advanced Graph Neural Networks
Most-Cited Works
- → Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis(2020)657 cited
- → The impact of imputation quality on machine learning classifiers for datasets with missing values(2023)98 cited
- → Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin(2021)76 cited
- → Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction(2017)74 cited
- → Adversarial generation of gene expression data(2021)42 cited
- → Hypergraph factorization for multi-tissue gene expression imputation(2023)27 cited
- → Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Protein Structures and Interaction Networks(2020)24 cited
- → Deep Learning Enables Fast and Accurate Imputation of Gene Expression(2021)18 cited
- → Systema: a framework for evaluating genetic perturbation response prediction beyond systematic variation(2025)17 cited