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

Bioinformatics

Nov 15, 2013

Shintaro KatayamaJuha A Kere

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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

Katayama Fever
MRNA Differential Display
Transcriptome
Data Interpretation, Statistical
Cell Type
Statistical Test
Single-Cell Analysis
Sequence Determinations, RNA
20
178
Paper Details
References
    • References16
    • Citations26
    • References16
    • Citations26
  • SAMstrt: statistical test for differential expression in single-cell transcriptome with spike-in normalization

    Bioinformatics

    Nov 15, 2013

    Shintaro KatayamaJuha A 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

    Katayama Fever
    MRNA Differential Display
    Transcriptome
    Data Interpretation, Statistical
    Cell Type
    20
    178
    Paper Details
    References
    • References16
    • Citations26
    • References16
    • Citations26
  • Get paper from

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