EnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes

EnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes

Abstract Background In recent years, the rapid development of single-cell RNA-sequencing (scRNA-seq) techniques enables the quantitative characterization of cell types at a single-cell resolution. With the explosive growth of the number of cells profiled in individual scRNA-seq experiments, there is...

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Bibliographic Details
Main Authors: Xiaoyang Chen, Shengquan Chen, Rui Jiang
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Bioinformatics
Subjects:
Single-cell
scRNA-seq
Cell types
Classification
Feature selection
Few-sample classes
Online Access:http://link.springer.com/article/10.1186/s12859-020-03679-z

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