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scran_qc
Simple quality control on single-cell data
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Options for per_cell_qc_metrics().
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#include <per_cell_qc_metrics.hpp>
Public Attributes | |
| bool | compute_sum = true |
| bool | compute_detected = true |
| bool | compute_max_value = true |
| bool | compute_max_index = true |
| bool | compute_subset_sum = true |
| bool | compute_subset_detected = true |
| bool | subset_containers_have_indices = true |
| int | num_threads = 1 |
Options for per_cell_qc_metrics().
| bool scran_qc::PerCellQcMetricsOptions::compute_sum = true |
Whether to compute the sum of expression values for each cell. This option only affects the per_cell_qc_metrics() overload that returns a PerCellQcMetricsResults object.
| bool scran_qc::PerCellQcMetricsOptions::compute_detected = true |
Whether to compute the number of detected features for each cell. This option only affects the per_cell_qc_metrics() overload that returns a PerCellQcMetricsResults object.
| bool scran_qc::PerCellQcMetricsOptions::compute_max_value = true |
Whether to compute the maximum expression value for each cell. This option only affects the per_cell_qc_metrics() overload that returns a PerCellQcMetricsResults object.
| bool scran_qc::PerCellQcMetricsOptions::compute_max_index = true |
Whether to report the index of the feature with the maximum value for each cell. This option only affects the per_cell_qc_metrics() overload that returns a PerCellQcMetricsResults object.
| bool scran_qc::PerCellQcMetricsOptions::compute_subset_sum = true |
Whether to compute the sum expression in each feature subset. This option only affects the per_cell_qc_metrics() overload that returns a PerCellQcMetricsResults object.
| bool scran_qc::PerCellQcMetricsOptions::compute_subset_detected = true |
Whether to compute the number of detected features in each feature subset. This option only affects the per_cell_qc_metrics() overload that returns a PerCellQcMetricsResults object.
| bool scran_qc::PerCellQcMetricsOptions::subset_containers_have_indices = true |
Whether the subsets supplied to per_cell_qc_metrics() contain the row indices of the features within each subset.
This option is only relevant if Subset_ is not a pointer type. Instead, Subset_ is expected to be a container-like type with operator[], size, begin and end methods.
true, each entry of subsets is assumed to be a container of unique row indices. This specifies the rows of the input matrix corresponding to the features in this subset..false, each entry of subsets is assumed to be a container of length equal to the number of features in the input matrix. Each container element is interpreted as a boolean indicating whether the corresponding row of the matrix belongs to the subset.If Subset_ is a pointer type, this option is ignored. Each entry of subsets is assumed to be a pointer to an array of length equal to the number features in the input matrix, where each array element is treated as a boolean indicating whether the coresponding row of the matrix belongs to the subset.
| int scran_qc::PerCellQcMetricsOptions::num_threads = 1 |
Number of threads to use. The parallelization scheme is determined by tatami::parallelize().