scran_variances
Model per-gene variance in expression
|
Options for model_gene_variances()
and friends.
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#include <model_gene_variances.hpp>
Public Attributes | |
FitVarianceTrendOptions | fit_variance_trend_options |
scran_blocks::WeightPolicy | block_weight_policy = scran_blocks::WeightPolicy::VARIABLE |
scran_blocks::VariableWeightParameters | variable_block_weight_parameters |
bool | compute_average = true |
int | num_threads = 1 |
Options for model_gene_variances()
and friends.
FitVarianceTrendOptions scran_variances::ModelGeneVariancesOptions::fit_variance_trend_options |
Options for fitting the mean-variance trend.
scran_blocks::WeightPolicy scran_variances::ModelGeneVariancesOptions::block_weight_policy = scran_blocks::WeightPolicy::VARIABLE |
Policy to use for weighting the contribution from each block when computing the average for each statistic. Only relevant to model_gene_variances_blocked()
overloads where averaged outputs are requested.
The default of scran_blocks::WeightPolicy::VARIABLE
is to define equal weights for blocks once they reach a certain size (see ModelGeneVariancesOptions::variable_block_weight_parameters
). For smaller blocks, the weight is linearly proportional to its size to avoid outsized contributions from very small blocks.
Other options include scran_blocks::WeightPolicy::EQUAL
, where all blocks are equally weighted regardless of size; and scran_blocks::WeightPolicy::NONE
, where the contribution of each block is proportional to its size.
scran_blocks::VariableWeightParameters scran_variances::ModelGeneVariancesOptions::variable_block_weight_parameters |
Parameters for the variable block weights, including the threshold at which blocks are considered to be large enough to have equal weight. Only relevant to model_gene_variances_blocked()
overloads where averaged outputs are requested and ModelGeneVariancesOptions::block_weight_policy = scran_blocks::WeightPolicy::VARIABLE
.
bool scran_variances::ModelGeneVariancesOptions::compute_average = true |
Whether to compute the average of each statistic across blocks. This only affects the model_gene_variances_blocked()
method that returns a ModelGeneVariancesBlockedResults
object.
int scran_variances::ModelGeneVariancesOptions::num_threads = 1 |
Number of threads to use for the variance calculations and trend fitting. The parallelization scheme is defined by tatami::parallelize()
.