statistical_test: Identification of G0-like cells

In tinglab/redPATH: Reconstructing the pseudo development time of cell lineages in single cell RNA-Seq data and applications in cancer.

Description

This function performs the simple statistical tests to determine the group of G0 like cells within single cell datasets.

Usage

statistical_test(mean_scores, kmean_result, threshold = 0.001)

Arguments

mean_scores	The mean score results returned from the reCAT software, "get_score"
kmean_result	The classification of kmeans clustering result.
threshold	Defaults to 0.001. The criterion that all p-values must be less than the threshold in order to determine G0-like cells

Examples

cycle_mean_scores <- get_score(t(test_exp))$mean_score
kmean_classification <- kmeans_clustering(cycle_mean_scores)
statistical_test(cycle_mean_scores, kmean_classification, threshold = 0.001)
# Sample output
#"Possible group of G0-like cells is: 2"

tinglab/redPATH documentation built on May 31, 2019, 10:37 a.m.