nexprs | R Documentation |
Counting the number of non-zero counts in each row (per feature) or column (per cell).
nexprs(x, ...)
## S4 method for signature 'ANY'
nexprs(
x,
byrow = FALSE,
detection_limit = 0,
subset_row = NULL,
subset_col = NULL,
BPPARAM = SerialParam()
)
## S4 method for signature 'SummarizedExperiment'
nexprs(x, ..., exprs_values = "counts", assay.type = exprs_values)
x |
A numeric matrix of counts where features are rows and cells are columns. Alternatively, a SummarizedExperiment containing such counts. |
... |
For the generic, further arguments to pass to specific methods. For the SummarizedExperiment method, further arguments to pass to the ANY method. |
byrow |
Logical scalar indicating whether to count the number of detected cells per feature.
If |
detection_limit |
Numeric scalar providing the value above which observations are deemed to be expressed. |
subset_row |
Logical, integer or character vector indicating which rows (i.e. features) to use. |
subset_col |
Logical, integer or character vector indicating which columns (i.e., cells) to use. |
BPPARAM |
A BiocParallelParam object specifying whether the calculations should be parallelized.
Only relevant when |
exprs_values |
Alias for |
assay.type |
String or integer specifying the assay of |
An integer vector containing counts per gene or cell, depending on the provided arguments.
Aaron Lun
numDetectedAcrossFeatures
and numDetectedAcrossCells
,
to do this calculation for each group of features or cells, respectively.
example_sce <- mockSCE()
nexprs(example_sce)[1:10]
nexprs(example_sce, byrow = TRUE)[1:10]
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