Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.
Pekka MarttinenMatti PirinenAntti-Pekka SarinJussi GillbergJohannes KettunenIda SurakkaAntti J. KangasPasi SoininenPaul F. O'ReillyMarika KaakinenMika KähönenTerho LehtimäkiMika Ala-KorpelaOlli T. RaitakariVeikko SalomaaMarjo-Riitta JärvelinSamuli RipattiSamuel KaskiPublished in: Bioinform. (2014)
Keyphrases
- regression model
- sparse bayesian learning
- gaussian processes
- gene expression
- model selection
- linear regression
- multivariate regression
- relevance vector machine
- support vector regression
- regression analysis
- bayesian networks
- biological entities
- bayesian inference
- regression algorithm
- dirichlet process mixture
- multivariate data
- statistical inference
- bayesian learning
- regression problems
- gene expression data
- microarray
- least squares
- association rules
- biomedical literature
- gaussian process