View source: R/methods-Module.R
runHotspot | R Documentation |
Perform Hotspot analysis on Vision Object
runHotspot( object, model = "normal", tree = FALSE, number_top_genes = 1000, num_umi = NULL, min_gene_threshold = 20, n_neighbors = NULL, autocorrelation_fdr = 0.05, clustering_fdr = 0.5, logdata = FALSE )
object |
Vision Object |
model |
model argument for Hotspot, one of
|
tree |
whether to use tree as latent space. If TRUE, object should have a tree slot. |
number_top_genes |
Hotspot argument for number of genes to consider |
num_umi |
optional dataframe containing umi counts in first column for barcodes |
min_gene_threshold |
minimum number of genes in Hotspot module |
n_neighbors |
number of neighbors to consider in latent space |
autocorrelation_fdr |
threshold for significance for genes autocorr |
clustering_fdr |
threshold for significance for clustering modules |
logdata |
boolean, log the expression data, avoid for danb Populates the modData, HotspotModuleScores, ModuleSignatureEnrichment and HotspotObject slots of object, as well as recalculates signature scores for new modules. |
the modified Vision object
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