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      • From FASTQ to counts
      • Annotate various features
      • Select cells from reduction maps
      • Alternative splicing analysis
      • Allele-specific gene expression analysis
      • Annotating genetic variants
      • Analysis multiple Visium samples
      • Cell trajectory analysis

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    • QuickRecipe
      • Description
      • Usage
      • Arguments
      • Value

    QuickRecipe

    Description

    Quick clust single cell gene expression matrix with Seurat pipeline

    Usage

    ## S4 method for signature 'Seurat'
    QuickRecipe(
      counts = NULL,
      min.cells = 20,
      min.features = 200,
      nvar = 3000,
      resolution = 0.5,
      assay = NULL,
      ndim = 20,
      verbose = TRUE
    )
    

    Arguments

    counts raw counts matrix or Seurat object.
    min.cells Only compute for features in at least this many cells
    min.features Only computer for cells contained at least this many features
    nvar Number of high variable features selected for PCA analysis
    resolution Value of the resolution parameter pass to FindClusters, use a value above (below) 1.0 if you want to obtain a larger (smaller) number of communities
    assay Assay name. Default is ‘RNA’.
    ndim Use top N PCs for clustering and UMAP. Default is 20.

    Value

    Seurat object

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