A rank-based marker selection method for high throughput scRNA-seq data

A rank-based marker selection method for high throughput scRNA-seq data

Abstract Background High throughput microfluidic protocols in single cell RNA sequencing (scRNA-seq) collect mRNA counts from up to one million individual cells in a single experiment; this enables high resolution studies of rare cell types and cell development pathways. Determining small sets of ge...

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Bibliographic Details
Main Authors: Alexander H. S. Vargo, Anna C. Gilbert
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
Single cell RNA-seq
Marker selection
Machine learning
Data analysis
Algorithms
Benchmarking
Online Access:http://link.springer.com/article/10.1186/s12859-020-03641-z

Internet

http://link.springer.com/article/10.1186/s12859-020-03641-z

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