remove_redundancy_elements_through_correlation: Drop redundant elements (e.g., samples) for which feature...

In tidybulk: Brings transcriptomics to the tidyverse

Description

Drop redundant elements (e.g., samples) for which feature (e.g., genes) aboundances are correlated

Usage

remove_redundancy_elements_through_correlation(
  .data,
  .element = NULL,
  .feature = NULL,
  .abundance = NULL,
  correlation_threshold = 0.9,
  top = Inf,
  of_samples = TRUE,
  log_transform = FALSE
)

Arguments

.data	A tibble
.element	A column symbol. The column that is used to calculate distance (i.e., normally samples)
.feature	A column symbol. The column that is represents entities to cluster (i.e., normally genes)
.abundance	A column symbol with the value the clustering is based on (e.g., 'count')
correlation_threshold	A real number between 0 and 1
top	An integer. How many top genes to select
of_samples	A boolean
log_transform	A boolean, whether the value should be log-transformed (e.g., TRUE for RNA sequencing data)

Value

A tibble with redundant elements removed

tidybulk documentation built on April 7, 2021, 6 p.m.