Search Results - "Escribà, Xavier"

Green space exposure and blood DNA methylation at birth and in childhood – A multi-cohort study by Aguilar-Lacasaña, Sofia, Fontes Marques, Irene, de Castro, Montserrat, Dadvand, Payam, Escribà, Xavier, Fossati, Serena, González, Juan R, Nieuwenhuijsen, Mark, Alfano, Rossella, Annesi-Maesano, Isabella, Brescianini, Sonia, Burrows, Kimberley, Calas, Lucinda, Elhakeem, Ahmed, Heude, Barbara, Hough, Amy, Isaevska, Elena, W V Jaddoe, Vincent, Lawlor, Deborah A, Monaghan, Genevieve, Nawrot, Tim, Plusquin, Michelle, Richiardi, Lorenzo, Watmuff, Aidan, Yang, Tiffany C., Vrijheid, Martine, F Felix, Janine, Bustamante, Mariona

“…[Display omitted] •There was no evidence of pregnancy or cumulative exposures associating with any DMP.•Surrounding greenness exposure was inversely associated…”
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Epimutation detection in the clinical context: guidelines and a use case from a new Bioconductor package by Ruiz-Arenas, Carlos, Abarrategui, Leire, Hernandez-Ferrer, Carles, Escribà-Montagut, Xavier, Pelegrí-Sisó, Dolors, Ryser-Welch, Patricia, Vrijheid, Martine, Bustamante, Mariona, Grazuleviciene, Regina, Lepeule, Johanna, Mathai, Mathew, Vafeiadi, Marina, Beltran, Sergi, Pérez-Jurado, Luis A, González, Juan R

“…Epimutations are rare alterations of the normal DNA methylation pattern at specific loci, which can lead to rare diseases. Methylation microarrays enable…”
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Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD by Marcon, Yannick, Bishop, Tom, Avraam, Demetris, Escriba-Montagut, Xavier, Ryser-Welch, Patricia, Wheater, Stuart, Burton, Paul, González, Juan R

“…Combined analysis of multiple, large datasets is a common objective in the health- and biosciences. Existing methods tend to require researchers to physically…”
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Software Application Profile: ShinyDataSHIELD—an R Shiny application to perform federated non-disclosive data analysis in multicohort studies by Escribà-Montagut, Xavier, Marcon, Yannick, Avraam, Demetris, Banerjee, Soumya, Bishop, Tom R P, Burton, Paul, González, Juan R

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Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data by González, Juan R, Cáceres, Alejandro, Ferrer, Eva, Balagué-Dobón, Laura, Escribà-Montagut, Xavier, Sarrat-González, David, Quintás, Guillermo, Rodas, Gil

“…Injury prevention is a crucial aspect of sports, particularly in high-performance settings such as elite female football. This study aimed to develop an injury…”
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Software Application Profile: exposomeShiny—a toolbox for exposome data analysis by Escriba-Montagut, Xavier, Basagaña, Xavier, Vrijheid, Martine, Gonzalez, Juan R

“…Abstract Motivation Studying the role of the exposome in human health and its impact on different omic layers requires advanced statistical methods. Many of…”
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