select_random: Random feature selection

In neurorestore/Augur: Cell type prioritization in high-dimensional single-cell data

Random feature selection

Description

Perform feature selection on a single-cell feature matrix (e.g., gene expression) by randomly removing a specified proportion of features.

Usage

select_random(mat, feature_perc = 0.5)

Arguments

mat	a single-cell matrix to be filtered, with features (genes) in rows and cells in columns
feature_perc	percentage of features (genes) chosen at random following the technical variance filter

Value

the filtered matrix (or, if feature_perc == 1, the input matrix)

neurorestore/Augur documentation built on Feb. 28, 2024, 3:03 a.m.