clustering_workflow: Clustering Workflow

In whtns/seuratTools: Tools for Managing Seurat Objects

Clustering Workflow

Description

Cluster and Reduce Dimensions of a seurat object

Usage

clustering_workflow(
  seu,
  excluded_cells,
  resolution = seq(0.2, 2, by = 0.2),
  organism = "human",
  experiment_name = "default_experiment",
  ...
)

Arguments

excluded_cells	named list of cells to exclude
resolution	resolution(s) to use for clustering cells
organism	Organism
...
feature_seus	list of seurat objects named according to feature of interest ("gene" or "transcript")

Examples

clustered_human_seu <- clustering_workflow(panc8, experiment_name = "seurat_pancreas", organism = "human")
clustered_mouse_seu <- clustering_workflow(baron2016singlecell)

whtns/seuratTools documentation built on April 9, 2024, midnight