期刊
BIOINFORMATICS
卷 29, 期 22, 页码 2943-2945出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btt511
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资金
- Karolinska Institutet Distinguished Professor Award
- Strategic Research Programme in Diabetes at Karolinska Institutet
- SNIC through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) [b2010037]
Motivation: Recent transcriptome studies have revealed that total transcript numbers vary by cell type and condition; therefore, the statistical assumptions for single-cell transcriptome studies must be revisited. SAMstrt is an extension code for SAMseq, which is a statistical method for differential expression, to enable spike-in normalization and statistical testing based on the estimated absolute number of transcripts per cell for single-cell RNA-seq methods.
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