View source: R/methods-Module.R
calcModuleScores | R Documentation |
For each module-cell pair, compute a score that captures the level of correspondence between the cell and the module.
calcModuleScores(object, mod_norm_method = NULL, mod_gene_importance = TRUE)
object |
the VISION object |
mod_norm_method |
Method to apply to normalize the expression matrix before calculating signature scores. Valid options are: "znorm_columns" (default), "none", "znorm_rows", "znorm_rows_then_columns", or "rank_norm_columns" |
mod_gene_importance |
whether or not to rank each gene's contribution to the overall signature score. Default = TRUE. This is used for inspecting genes in a signature in the output report |
the VISION object, with the @ModScores and @ModGeneImportance slots populated
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