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If two deconvolution features within a specific cell type are found to be highly correlated, one feature is kept randomly for further analysis.

Usage

removeCorrelatedFeatures(data, threshold, name, n_seed)

Arguments

data

Deconvolution matrix

threshold

Threshold for defined high correlated features

name

Cell type name corresponding to the given matrix in 'data'

n_seed

Seed to ensure reproducibility regarding the choice of the feature.

Value

A list containing

  • Deconvolution matrix with only one deconvolution feature per high-correlated pair.

  • Highly correlated features found

  • Cell type name