scran_norm
Scaling normalization of single-cell data
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Options for choose_pseudo_count()
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#include <choose_pseudo_count.hpp>
Public Attributes | |
double | quantile = 0.05 |
double | max_bias = 0.1 |
double | min_value = 1 |
Options for choose_pseudo_count()
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double scran_norm::ChoosePseudoCountOptions::quantile = 0.05 |
Quantile to use for finding the smallest/largest size factors. Setting this to zero will use the observed minimum and maximum, though this is usually too extreme in practice. The default is to take the 5th and 95th percentile, yielding a range that is still representative of most cells.
double scran_norm::ChoosePseudoCountOptions::max_bias = 0.1 |
Acceptable upper bound on the log-transformation bias.
double scran_norm::ChoosePseudoCountOptions::min_value = 1 |
Minimum value for the pseudo-count returned by choose_pseudo_count()
. Defaults to 1 to stabilize near-zero normalized expression values, otherwise these manifest as avoid large negative values.