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http://hdl.handle.net/2445/194949
Title: | Multi-omic modelling of inflammatory bowel disease with regularized canonical correlation analysis |
Author: | Revilla, Lluís Mayorgas, Aida Corraliza Márquez, Ana Maria Masamunt, Maria Carme Metwaly, Amira Haller, Dirk Tristán, Eva Carrasco García, Anna Esteve i Comas, Maria Panés Díaz, Julià Ricart, Elena Lozano Salvatella, Juan José Salas Martínez, Azucena |
Keywords: | Transcripció genètica Microbiota intestinal Glioma Hematopoesi Genetic transcription Gastrointestinal microbiome Gliomas Hematopoiesis |
Issue Date: | 8-Feb-2021 |
Publisher: | Public Library of Science (PLoS) |
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. |
Note: | Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0246367 |
It is part of: | PLoS One, 2021, vol. 16, num. 2, p. e0246367 |
URI: | http://hdl.handle.net/2445/194949 |
Related resource: | https://doi.org/10.1371/journal.pone.0246367 |
ISSN: | 1932-6203 |
Appears in Collections: | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) |
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