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

Bioinformatics. 2013 Nov 15;29(22):2943-5. doi: 10.1093/bioinformatics/btt511. Epub 2013 Aug 31.

Abstract

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.

Availability and implementation: SAMstrt is implemented on R and available in github (https://github.com/shka/R-SAMstrt).

Contact: [email protected]

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Interpretation, Statistical
  • Gene Expression Profiling / methods*
  • Humans
  • Sequence Analysis, RNA / methods*
  • Single-Cell Analysis