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Chapter 3 Feature selection | Basics of Single-Cell Analysis with Bioconductor

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Chapter 3 Feature selection | Basics of Single-Cell Analysis with Bioconductor

Chapter 3 Feature selection | Basics of Single-Cell Analysis with Bioconductor Basics of Single-Cell Analysis with Bioconductor Chapter 3 Feature selection 3.1 Motivation We often use scRNA-seq data in exploratory analyses to characterize heterogeneity across cells. Procedures like clustering and dimensionality reduction compare cells based on their gene expression profiles, which involves aggregating per-gene differences into a single (dis)similarity metric between a pair of cells. The choice of genes to use in this calculation has a major impact on the behavior of the metric and the performa

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