A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identification

A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identification

Abstract Background The advent of single cell RNA sequencing (scRNA-seq) enabled researchers to study transcriptomic activity within individual cells and identify inherent cell types in the sample. Although numerous computational tools have been developed to analyze single cell transcriptomes, there...

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Bibliographic Details
Main Authors: Douglas Abrams, Parveen Kumar, R. Krishna Murthy Karuturi, Joshy George
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Single cell RNA-seq
Cell-type identification
Clustering
Experimental design
Analysis design
Online Access:http://link.springer.com/article/10.1186/s12859-019-2817-2

Internet

http://link.springer.com/article/10.1186/s12859-019-2817-2

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