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http://hdl.handle.net/2445/194949
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DC Field | Value | Language |
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dc.contributor.author | Revilla, Lluís | - |
dc.contributor.author | Mayorgas, Aida | - |
dc.contributor.author | Corraliza Márquez, Ana Maria | - |
dc.contributor.author | Masamunt, Maria Carme | - |
dc.contributor.author | Metwaly, Amira | - |
dc.contributor.author | Haller, Dirk | - |
dc.contributor.author | Tristán, Eva | - |
dc.contributor.author | Carrasco García, Anna | - |
dc.contributor.author | Esteve i Comas, Maria | - |
dc.contributor.author | Panés Díaz, Julià | - |
dc.contributor.author | Ricart, Elena | - |
dc.contributor.author | Lozano Salvatella, Juan José | - |
dc.contributor.author | Salas Martínez, Azucena | - |
dc.date.accessioned | 2023-03-09T15:27:39Z | - |
dc.date.available | 2023-03-09T15:27:39Z | - |
dc.date.issued | 2021-02-08 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | http://hdl.handle.net/2445/194949 | - |
dc.description.abstract | Personalized medicine requires finding relationships between variables that influence a patient's phenotype and predicting an outcome. Sparse generalized canonical correlation analysis identifies relationships between different groups of variables. This method requires establishing a model of the expected interaction between those variables. Describing these interactions is challenging when the relationship is unknown or when there is no pre-established hypothesis. Thus, our aim was to develop a method to find the relationships between microbiome and host transcriptome data and the relevant clinical variables in a complex disease, such as Crohn's disease. | - |
dc.format.extent | 21 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Public Library of Science (PLoS) | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0246367 | - |
dc.relation.ispartof | PLoS One, 2021, vol. 16, num. 2, p. e0246367 | - |
dc.relation.uri | https://doi.org/10.1371/journal.pone.0246367 | - |
dc.rights | cc-by (c) Revilla, Lluís et al., 2021 | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.source | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) | - |
dc.subject.classification | Transcripció genètica | - |
dc.subject.classification | Microbiota intestinal | - |
dc.subject.classification | Glioma | - |
dc.subject.classification | Hematopoesi | - |
dc.subject.other | Genetic transcription | - |
dc.subject.other | Gastrointestinal microbiome | - |
dc.subject.other | Gliomas | - |
dc.subject.other | Hematopoiesis | - |
dc.title | Multi-omic modelling of inflammatory bowel disease with regularized canonical correlation analysis | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 716813 | - |
dc.date.updated | 2023-03-09T15:27:39Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) |
Files in This Item:
File | Description | Size | Format | |
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716813.pdf | 2.28 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License