select_top_de_genes: Select the top DE genes, ranked on either fold change or...

In keshavmot2/scanalysis: Multi-Sample Visualization and Immune Repertoire Analysis Utilities for Single-Cell Data

Description

Select the top DE genes, ranked on either fold change or -log10(p-value)

Usage

select_top_de_genes(
  data,
  n = 10,
  fold_change = "fold_change",
  p_value = "p_value",
  groups = c(),
  rank_by = "fold_change",
  only_pos = FALSE
)

Arguments

data	differential expression results
n	number of top DE genes to select
fold_change	column containing fold change data (x-axis)
p_value	column containing p-value data (y-axis is -log10(p_value))
groups	column containing groups to get top DE genes per group (for example, cluster column)
rank_by	whether to rank by fold_change or p_value first
only_pos	only select features with positive fold change

Examples

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keshavmot2/scanalysis documentation built on Feb. 5, 2021, 4:17 p.m.