publications
publications by categories in reversed chronological order.
2024
- Interpretable Machine Learning Leverages Proteomics to Improve Cardiovascular Disease Risk Prediction and Biomarker IdentificationmedRxiv, 2024
2023
- Fsnet: Feature selection network on high-dimensional biological dataIn 2023 International Joint Conference on Neural Networks (IJCNN), 2023
- A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selectionSTAR protocols, 2023
- Network medicine-based epistasis detection in complex diseases: ready for quantum computingMedrxiv, 2023
2022
- Interpretable network-guided epistasis detectionGigaScience, 2022
- Feature screening with kernel knockoffsIn International Conference on Artificial Intelligence and Statistics, 2022
2021
- Post-selection inference with HSIC-LassoIn International Conference on Machine Learning, 2021
- martini: an R package for genome-wide association studies using SNP networksbioRxiv, 2021
- Boosting GWAS using biological networks: A study on susceptibility to familial breast cancerPLoS computational biology, 2021
2020
- Network aggregation to enhance results derived from multiple analyticsIn Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I 16, 2020
- Network-guided genome-wide association studiesUniversité Paris sciences et lettres, 2020
2019
- Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional dataBioinformatics, 2019
2018
- FoldX accurate structural protein–DNA binding prediction using PADA1 (Protein Assisted DNA Assembly 1)Nucleic acids research, 2018
- Systematic analysis of splice-site-creating mutations in cancerCell reports, 2018
2017
- The functional impact of alternative splicing in cancerCell reports, 2017
2016
- Rescuing discarded spectra: Full comprehensive analysis of a minimal proteomeProteomics, 2016