Benchmarks the cluster assignmentws — benchmark.integration • IBRAP

Adopting scones method of Average Silhouette Width determination between batches. A depleted value is superior.

benchmark.intergation(
  object,
  batch,
  assays,
  reduction,
  result.names,
  n.components = 2
)

Arguments

object: IBRAP S4 class object
batch: Character. Whcih column in the metadata dataframe contains the batches.
reduction: Character. Which reduction(s) should be used to observe integration.
result.names: Character. A vector of names for the benchmarking results.
n.components: Numerical. How many components of the reduced embeddings should be used. Default = 2
assay: Character. String containing indicating which assay to use

Value

Benchmarking scores for the supplied integrations

Examples

object <- benchmark.intergation(object = object, 
                                          batch = 'original.project', 
                                          assays = c('SCT','SCRAN','SCANPY'), 
                                          reduction = c('pca_umap', 'pca_harmony_umap', 
                                                        'scanorama_umap', 'pca_bbknn_bbknn:umap',
                                                        'CCA_pca_umap'), 
                                          result.names = c('uncorrected', 'harmony', 
                                                           'scanorama', 'bbknn', 'cca'), 
                                          n.components = 2)
#> Error in is(object = object, class2 = "IBRAP"): object 'object' not found