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SAMstrt: statistical test for differential expression in single-cell transcriptome with spike-in normalization

Bioinformatics

Sep 3, 2013

Shintaro KatayamaJuha Kere

Abstract

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 differenti...read more

Mentioned in this Paper

Single-Cell Analysis
Sequence Determinations, RNA
Statistical Test
Katayama Fever
Data Interpretation, Statistical
Cell Type
Transcriptome
MRNA Differential Display
20
180
Paper Details
References
  • References16
  • Citations30
12
  • References16
  • Citations30
123

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SAMstrt: statistical test for differential expression in single-cell transcriptome with spike-in normalization

Bioinformatics

Sep 3, 2013

Shintaro KatayamaJuha Kere

PMID: 23995393

DOI: 10.1093/bioinformatics/btt511

Abstract

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 differenti...read more

Mentioned in this Paper

Single-Cell Analysis
Sequence Determinations, RNA
Statistical Test
Katayama Fever
Data Interpretation, Statistical
Cell Type
Transcriptome
MRNA Differential Display
20
180

Similar Papers Found In These Feeds

Single Cell Transcriptomics

Single cell transcriptomics enables the examination of gene expression at an individual cell level by measuring mRNA concentration of genes. Here is the latest research.

Human Cell Atlas Consortium

The aim of the Human Cell Atlas is to build reference maps of all human cells in order to enhance our understanding of health and disease. Follow the latest research from the Human Cell Atlas Consortium here.

Related Papers

Nature Methods

Quantitative assessment of single-cell RNA-sequencing methods

Nature MethodsOctober 22, 2013
Angela R WuStephen R Quake
Nature Methods

Accounting for technical noise in single-cell RNA-seq experiments

Nature MethodsSeptember 24, 2013
Philip BrenneckeMarcus G Heisler
Paper Details
References
  • References16
  • Citations30
12
  • References16
  • Citations30
123
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