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single-cell-RNA-Seq-Data-Analysis-Methods

This is a small introductory of the usage of several software implementations of embedding algorithms for high-dimensional gene expression data that are often used for single cell RNA-Seq (scRNA-Seq) data analysis. Many of them are available as R packages on CRAN, Bioconductor and/or GitHub.

For illustration purposes, we checked four widely used embedding methods to a bulk RNA-Seq data set, and then to a much more complex scRNA-Seq data set obtained from the scRNAseq package.

Reference

  1. https://pubmed.ncbi.nlm.nih.gov/31792435/
  2. https://pubmed.ncbi.nlm.nih.gov/31097661/
  3. https://pubmed.ncbi.nlm.nih.gov/31436334/

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