Journal
BIOINFORMATICS
Volume 31, Issue 13, Pages 2225-2227Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btv122
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Funding
- NIH [U01 MH098977]
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A major roadblock towards accurate interpretation of single cell RNA-seq data is large technical noise resulted from small amount of input materials. The existing methods mainly aim to find differentially expressed genes rather than directly de-noise the single cell data. We present here a powerful but simple method to remove technical noise and explicitly compute the true gene expression levels based on spike-in ERCC molecules.
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