BuettnerFlorian: test dataset for SIMLR

In SIMLR: Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)

Description

example dataset to test SIMLR from the work by Buettner, Florian, et al.

Usage

data(BuettnerFlorian)

Format

gene expression measurements of individual cells

Value

list of 6: in_X = input dataset as an (m x n) gene expression measurements of individual cells, n_clust = number of clusters (number of distinct true labels), true_labs = ground true of cluster assignments for each of the n_clust clusters, seed = seed used to compute the results for the example, results = result by SIMLR for the inputs defined as described, nmi = normalized mutual information as a measure of the inferred clusters compared to the true labels

Source

Buettner, Florian, et al. "Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells." Nature biotechnology 33.2 (2015): 155-160.

SIMLR documentation built on Nov. 8, 2020, 5:40 p.m.