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Xavier Escribà-Montagut

Observed names: Escriba-Montagut, Xavier, Escribà-Montagut, Xavier, Xavier Escriba-Montagut, Xavier Escriba’ Montagut, Xavier Escribà, Xavier Escribà Montagut
ORCID: 0000-0003-2888-8948
Observed ORCID: 0000-0003-2888-8948
OpenAlex ID: A5034868123
Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD
2021 · Yannick Marcon, Tom Bishop, et al. · PLoS Computational Biology · 53
DataSHIELD: mitigating disclosure risk in a multi-site federated analysis platform
2024 · Demetris Avraam, Rebecca C Wilson, et al. · Bioinformatics Advances · 22
Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data
2024 · Juan R. González, Alejandro Cáceres, et al. · International Journal of Sports Physiology and Performance · 19
Green space exposure and blood DNA methylation at birth and in childhood – A multi-cohort study
2024 · Sofia Aguilar-Lacasaña, Irene Fontes Marques, et al. · Environment International · 14
Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform
2024 · Xavier Escriba-Montagut, Yannick Marcon, et al. · PLoS Computational Biology · 10
dsOMOP: bridging OMOP CDM and DataSHIELD for secure federated analysis of standardized clinical data
2025 · David Sarrat-González, Xavier Escribà-Montagut, et al. · Bioinformatics · 5
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Software Application Profile: ShinyDataSHIELD—an R Shiny application to perform federated non-disclosive data analysis in multicohort studies
2022 · Xavier Escribà-Montagut, Yannick Marcon, et al. · International Journal of Epidemiology · 5
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PLAID: ultrafast single-sample gene set enrichment scoring
2025 · Antonino Zito, Xavier Escribà Montagut, et al. · Bioinformatics · 4
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Software Application Profile: exposomeShiny—a toolbox for exposome data analysis
2021 · Xavier Escriba-Montagut, Xavier Basagaña, et al. · International Journal of Epidemiology · 4
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Integrating differential privacy into federated multi-task learning algorithms in dsMTL
2024 · Roman Schefzik, Han Cao, et al. · Bioinformatics Advances · 1
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Epimutation detection in the clinical context: guidelines and a use case from a new Bioconductor package
2023 · Carlos Ruiz-Arenas, Leire Abarrategui, et al. · Epigenetics · 1
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MediNet: simplifying federated and privacy-preserving AI deployment in healthcare
2026 · Ramon Mateo-Navarro, David Sarrat-González, et al. · Bioinformatics
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WGCNA+: AI-powered WGCNA for Integration of Multi-Omics Data
2026 · Antonino Zito, Xavier Escriba’ Montagut, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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VanillaCalendar: Interactive Calendar and Date Picker Widget
2026 · Xavier Escribà Montagut
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dsLassoCov: a federated Lasso approach incorporating covariate control
2026 · Han Cao, Augusto Anguita-Ruiz, et al. · Scientific Reports
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dsBaseClient: 'DataSHIELD' Client Side Base Functions
2026 · Paul Burton, Rebecca Wilson, et al.
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dsBase: 'DataSHIELD' Server Side Base Functions
2025 · Paul Burton, Rebecca Wilson, et al.
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From shiny app to enterprise SaaS solution: Lessons learned and necessary tech stack
2023 · Mauro Masiero, Nicholas Cullen, et al.
Epimutation detection in the clinical context: guidelines and a use case from a new Bioconductor package
2023 · Ruiz-Arenas, Carlos, Abarrategui, Leire, et al. · Zenodo (CERN European Organization for Nuclear Research)
Epimutation detection in the clinical context: guidelines and a use case from a new Bioconductor package
2023 · Ruiz-Arenas, Carlos, Abarrategui, Leire, et al. · Figshare
Works count: 24
Citation count: 138
H-index: 5
I10-index: 5
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