SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data.

ABSTRACT:

Motivation

Accurately clustering cell types from a mass of heterogeneous cells is a crucial first step for the analysis of single-cell RNA-seq (scRNA-Seq) data. Although several methods have been recently developed, they utilize different characteristics of data and yield varying results in terms of both the number of clusters and actual cluster assignments.

Results

Here, we present SAFE-clustering, single-cell aggregated (From Ensemble) clustering, a flexible, accurate and robust method for clustering scRNA-Seq data. SAFE-clustering takes as input, results from multiple clustering methods, to build one consensus solution. SAFE-clustering currently embeds four state-of-the-art methods, SC3, CIDR, Seurat and t-SNE + k-means; and ensembles solutions from these four methods usi

SUBMITTER: Yang Y 

PROVIDER: S-EPMC6477982 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature