Multi-Sample Single-Cell Analyses with Bioconductor
Authors: Robert Amezquita [aut], Aaron Lun [aut, cre], Stephanie Hicks [aut], Raphael Gottardo [aut]
Environment: R version 4.2.0 (2022-04-22), Bioconductor 3.15
License: CC BY
Copyright: Bioconductor, 2022
This site contains the advanced analysis chapters for the “Orchestrating Single-Cell Analysis with Bioconductor” book. This describes the handling of multiple samples in a single-cell RNA-seq analysis, starting with integration of multiple datasets into a common space for consistent analyses, differential expression comparisons between conditions based on pseudo-bulk samples, and differential abundance analyses for cell subpopulations. It is intended for readers who are already familiar with basic single-cell analyses, possibly after reading some of the prior books in this collection.