Triku: a feature selection method based on nearest neighbors for single-cell data.

ABSTRACT:

Background

Feature selection is a relevant step in the analysis of single-cell RNA sequencing datasets. Most of the current feature selection methods are based on general univariate descriptors of the data such as the dispersion or the percentage of zeros. Despite the use of correction methods, the generality of these feature selection methods biases the genes selected towards highly expressed genes, instead of the genes defining the cell populations of the dataset.

Results

Triku is a feature selection method that favors genes defining the main cell populations. It does so by selecting genes expressed by groups of cells that are close in the k-nearest neighbor graph. The expression of these genes is higher than the expected expression if the k-cells were chosen at random. Tr

SUBMITTER: M Ascension A 

PROVIDER: S-EPMC8917514 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature