publications

2025

1. Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification

   Héctor Climente-González, Min Oh, Urszula Chajewska, and 8 more authors

   Communications Medicine, 2025
2. Multimodal deep learning enhances genomic risk prediction for cardiometabolic diseases in UK Biobank

   Taiyu Zhu, Upamanyu Ghose, Héctor Climente-González, and 3 more authors

   medRxiv, 2025
3. Sparse minimum Redundancy Maximum Relevance for feature selection

   Peter Naylor, Benjamin Poignard, Héctor Climente-González, and 1 more author

   arXiv preprint arXiv:2508.18901, 2025

2024

1. Network medicine-based epistasis detection in complex diseases: ready for quantum computing

   Markus Hoffmann, Julian M Poschenrieder, Massimiliano Incudini, and 45 more authors

   Nucleic Acids Research, 2024

2023

1. Fsnet: Feature selection network on high-dimensional biological data

   Dinesh Singh, Héctor Climente-González, Mathis Petrovich, and 2 more authors

   In 2023 International Joint Conference on Neural Networks (IJCNN), 2023
2. A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection

   Héctor Climente-González, Chloé-Agathe Azencott, and Makoto Yamada

   STAR protocols, 2023

2022

1. Interpretable network-guided epistasis detection

   Diane Duroux, Héctor Climente-González, Chloé-Agathe Azencott, and 1 more author

   GigaScience, 2022
2. Feature screening with kernel knockoffs

   Benjamin Poignard, Peter J Naylor, Héctor Climente-González, and 1 more author

   In International Conference on Artificial Intelligence and Statistics, 2022

2021

1. Post-selection inference with HSIC-Lasso

   Tobias Freidling, Benjamin Poignard, Héctor Climente-González, and 1 more author

   In International Conference on Machine Learning, 2021
2. martini: an R package for genome-wide association studies using SNP networks

   Héctor Climente-González and Chloé-Agathe Azencott

   bioRxiv, 2021
3. Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer

   Héctor Climente-González, Christine Lonjou, Fabienne Lesueur, and 4 more authors

   PLoS computational biology, 2021

2020

1. Network aggregation to enhance results derived from multiple analytics

   Diane Duroux, Héctor Climente-González, Lars Wienbrandt, and 1 more author

   In IFIP international conference on artificial intelligence applications and innovations, 2020
2. Network-guided genome-wide association studies

   Héctor Climente González

   Université Paris sciences et lettres, 2020

2019

1. Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data

   Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, and 1 more author

   Bioinformatics, 2019

2018

1. FoldX accurate structural protein–DNA binding prediction using PADA1 (Protein Assisted DNA Assembly 1)

   Javier Delgado Blanco, Leandro Radusky, Héctor Climente-González, and 1 more author

   Nucleic acids research, 2018
2. Systematic analysis of splice-site-creating mutations in cancer

   Reyka G Jayasinghe, Song Cao, Qingsong Gao, and 8 more authors

   Cell reports, 2018

2017

1. The functional impact of alternative splicing in cancer

   Héctor Climente-González, Eduard Porta-Pardo, Adam Godzik, and 1 more author

   Cell reports, 2017

2016

1. Rescuing discarded spectra: Full comprehensive analysis of a minimal proteome

   Maria Lluch-Senar, Francesco M Mancuso, Héctor Climente-González, and 3 more authors

   Proteomics, 2016