Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model.
Jing XieTieming JiMarco A. R. FerreiraYahan LiBhaumik N. PatelRocio M. RiveraPublished in: BMC Bioinform. (2019)
Keyphrases
- regression model
- survival analysis
- generalized linear
- regression analysis
- regression methods
- prediction model
- model selection
- gaussian process
- explanatory variables
- support vector regression
- kernel regression
- regression trees
- linear regression model
- generalized linear models
- microarray
- response variable
- independent variables
- automatic relevance determination
- linear model
- gaussian processes
- gene sets
- high dimensional
- multivariate regression
- semi parametric
- statistical methods
- high throughput
- gene expression
- logistic regression
- statistical analysis
- maximum likelihood
- least squares