scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data

scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data

Abstract Technical variation in feature measurements, such as gene expression and locus accessibility, is a key challenge of large-scale single-cell genomic datasets. We show that this technical variation in both scRNA-seq and scATAC-seq datasets can be mitigated by analyzing feature detection patte...

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Bibliographic Details
Main Authors: Ruoxin Li, Gerald Quon
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Genome Biology
Subjects:
scRNA-seq
Dimensionality reduction
scATAC-seq
Technical noise
Gene detection
Gene quantification
Online Access:http://link.springer.com/article/10.1186/s13059-019-1806-0

Internet

http://link.springer.com/article/10.1186/s13059-019-1806-0

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