tl_calcFeatureScore: calculate average/median rescale expression of features (eg....

In zzwch/convgene: This package is designed to conveniently convert gene between human and mouse.

Description

calculate average/median rescale expression of features (eg. genes) for each cell

Usage

tl_calcFeatureScore(
  data,
  features,
  rescale_max = 10,
  rescale_min = 0,
  method = base::mean,
  by_log = T,
  log_base = base::exp(1),
  exclude_zero = F,
  outlier_cutoff = 1,
  cap_value = NULL,
  gene_force = F,
  rescale_again = T
)

Arguments

data	expression matrix of feature by cell, ususally normalized (in log scale) but not feature scaled. A matrix is better than data.frame in case of duplicated features.
features	features to be calculated
rescale_max	rescale data
rescale_min	rescale data
method	using base::mean or stats::median or your custom function for each feature vector;
by_log	calculate by log scale ; If TRUE log_base will be ignored.
log_base	base::exp(1) or 2 or other else, depends on your normalization method.
exclude_zero	exclude zeros when calculate average/median feature value. Note exclude_zero first, outlier_cutoff second.
outlier_cutoff	sometimes outliers (several extremely high cells) should be excluded when do summarise. Set 0.99 to exclude top 1 percent cells. (default: 1)
cap_value	the max value to show in dotplot. Any value larger than it will be capped to this value. (default: NA)
gene_force	Force gene suing zeros, which is missing in data.
rescale_again	do rescale again after summarisie

Value

a list of mean and percentage data

zzwch/convgene documentation built on July 11, 2021, 9:41 a.m.