This obtains the sample variables of a HermesData
object together
with selected gene information.
Usage
col_data_with_genes(object, assay_name, genes)
Arguments
- object
(AnyHermesData
)
input experiment.
- assay_name
(string
)
which assay to use.
- genes
(GeneSpec
)
which genes or which gene signature should be extracted.
Value
The combined data set, where the additional attribute gene_cols
contains
the names of the columns obtained by extracting the genes
information.
Note
The class of the returned data set will depend on the class of colData
, so usually
will be S4Vectors::DFrame
.
Examples
result <- col_data_with_genes(hermes_data, "counts", gene_spec("GeneID:1820"))
tail(names(result))
#> [1] "COHORT" "TTYPE" "STDSSDY"
#> [4] "low_depth_flag" "tech_failure_flag" "GeneID.1820"
result$GeneID.1820
#> [1] 49 153 94 54 111 567 118 171 180 16 386 57 242 73 362 144 124 243 79
#> [20] 161