Expression Sets
The ExpressionSet
type is a container for storing gene expression data. Following the Bioconductor ExpressionSet
class, it contains a matrix of expression values, a matrix of feature data, and a matrix of sample data.
Constructor
ExpressionData.ExpressionSet
— TypeExpressionSet
An ExpressionSet
object is a container for storing gene expression data, along with associated metadata. It follows the ExpressionSet
class from the R package from Bioconductor: Biobase
.
See also
MIAME
feature_names
sample_names
expression_values
feature_data
phenotype_data
experiment_data
annotation
Accessors
ExpressionData.expression_values
— Functionexpression_values(eset::ExpressionSet)::DataFrame
Extracts the expression values from an ExpressionSet. The feature names are included as a column.
By passing the type Matrix
as the first argument, the function will return the expression values as a matrix.
ExpressionData.feature_data
— Functionfeature_data(eset::ExpressionSet)::DataFrame
Extracts the feature data from an ExpressionSet.
ExpressionData.phenotype_data
— Functionphenotype_data(eset::ExpressionSet)::DataFrame
Extracts the phenotype data from an ExpressionSet.
ExpressionData.experiment_data
— Functionexperiment_data(eset::ExpressionSet)::MIAME
Extracts the experiment data from an ExpressionSet.
See also
ExpressionData.annotation
— Functionannotation(eset::ExpressionSet)::Symbol
Extracts the annotation from an ExpressionSet.
ExpressionData.sample_names
— Functionsample_names(eset::ExpressionSet)::Vector{String}
Extracts the sample names from an ExpressionSet.
ExpressionData.feature_names
— Functionfeature_names(eset::ExpressionSet)::Vector{String}
Extracts the feature names from an ExpressionSet.