mixOmics: An R package for ‘omics feature selection and multiple data integration
Pourquoi ce travail est-il dans la base ?
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Résumé
The advent of high throughput technologies has led to a wealth of publicly available 'omics data coming from different sources, such as transcriptomics, proteomics, metabolomics. Combining such large-scale biological data sets can lead to the discovery of important biological insights, provided that relevant information can be extracted in a holistic manner. Current statistical approaches have been focusing on identifying small subsets of molecules (a 'molecular signature') to explain or predict biological conditions, but mainly for a single type of 'omics. In addition, commonly used methods are univariate and consider each biological feature independently. We introduce mixOmics, an R package dedicated to the multivariate analysis of biological data sets with a specific focus on data exploration, dimension reduction and visualisation. By adopting a systems biology approach, the toolkit provides a wide range of methods that statistically integrate several data sets at once to probe relationships between heterogeneous 'omics data sets. Our recent methods extend Projection to Latent Structure (PLS) models for discriminant analysis, for data integration across multiple 'omics data or across independent studies, and for the identification of molecular signatures. We illustrate our latest mixOmics integrative frameworks for the multivariate analyses of 'omics data available from the package.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
La notice
- Revue
- PLoS Computational Biology
- Thématique
- Bioinformatics and Genomic Networks
- Domaine
- Biochemistry, Genetics and Molecular Biology
- Établissements canadiens
- Prevention of Organ FailureUniversity of British Columbia
- Organismes subventionnaires
- Diamantina Institute, University of QueenslandNational Health and Medical Research CouncilMedical Research CouncilUniversity of QueenslandAustralian Cancer Research Foundation
- Mots-clés
- UnivariateOmicsComputer scienceFeature selectionIdentification (biology)Data integrationBiological dataData miningMultivariate statisticsData typeSystems biologyDimensionality reductionComputational biologyData scienceBioinformaticsBiologyMachine learning
- Résumé présent dans OpenAlex
- oui