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Validation of noise models for single-cell transcriptomics
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Validation of noise models for single-cell transcriptomics
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Journal Article
Validation of noise models for single-cell transcriptomics
2014
Overview
Noise models based on the identification of major sources of technical variability in single-cell RNA-seq data allow the inference of true biological variability in cellular expression.
Single-cell transcriptomics has recently emerged as a powerful technology to explore gene expression heterogeneity among single cells. Here we identify two major sources of technical variability: sampling noise and global cell-to-cell variation in sequencing efficiency. We propose noise models to correct for this, which we validate using single-molecule FISH. We demonstrate that gene expression variability in mouse embryonic stem cells depends on the culture condition.
Publisher
Nature Publishing Group US,Nature Publishing Group
