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mumosa
Multi-modal analyses of single-cell data
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Options for compute_distance_blocked().
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#include <blocked.hpp>

Public Attributes | |
| int | num_neighbors = 20 |
| scran_blocks::WeightPolicy | block_weight_policy = scran_blocks::WeightPolicy::VARIABLE |
| scran_blocks::VariableWeightParameters | variable_block_weight_parameters |
| int | num_threads = 1 |
| int mumosa::BlockedOptions::num_neighbors = 20 |
Number of neighbors for the nearest neighbor search. Larger values improve stability at the risk of including biological heterogeneity into the distance. num_neighbors + 1 can also be interpreted as the expected minimum size of each subpopulation.
| scran_blocks::WeightPolicy mumosa::BlockedOptions::block_weight_policy = scran_blocks::WeightPolicy::VARIABLE |
Policy to use for weighting the contribution from each block when computing the average distance.
| scran_blocks::VariableWeightParameters mumosa::BlockedOptions::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 when BlockedOptions::block_weight_policy = scran_blocks::WeightPolicy::VARIABLE.
| int mumosa::BlockedOptions::num_threads = 1 |
Number of threads to use. The parallelization mechanism is determined by knncolle::parallelize(). t