A shallow wrapper for the ewce_plot function.
ewce_plot(total_res, mtc_method = "bonferroni", ctd = NULL, ...)
Results data.frame generated using bootstrap_enrichment_test or ewce_expression_data functions. Multiple results tables can be merged into one results table, as long as the 'list' column is set to distinguish them. Multiple testing correction is then applied across all merged results.
Method to be used for multiple testing correction. Argument is passed to p.adjust (DEFAULT: "bonferroni).
CellTypeDataset object. Should be provided so that the dendrogram can be taken from it and added to plots.
Arguments passed on to EWCE::ewce_plot
q_threshold
Corrected significance threshold.
annotLevel
An integer indicating which level of ctd
to
analyse (Default: 1).
heights
The relative heights row in the grid. Will get repeated to match the dimensions of the grid. Passed to wrap_plots.
make_dendro
Add a dendrogram (requires ctd
).
verbose
Print messages.
A bar chart with dendrogram of EWCE results in each cell type.
full_results <- EWCE::example_bootstrap_results()
#> Recomputing example bootstrap results.
#> see ?ewceData and browseVignettes('ewceData') for documentation
#> loading from cache
#> see ?ewceData and browseVignettes('ewceData') for documentation
#> loading from cache
#> 1 core(s) assigned as workers (1 reserved).
#> Generating gene background for mouse x human ==> human
#> Gathering ortholog reports.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Gene table with 19,129 rows retrieved.
#> Returning all 19,129 genes from human.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: mouse
#> Common name mapping found for mouse
#> 1 organism identified from search: 10090
#> Gene table with 21,207 rows retrieved.
#> Returning all 21,207 genes from mouse.
#> --
#> --
#> Preparing gene_df.
#> data.frame format detected.
#> Extracting genes from Gene.Symbol.
#> 21,207 genes extracted.
#> Converting mouse ==> human orthologs using: homologene
#> Retrieving all organisms available in homologene.
#> Mapping species name: mouse
#> Common name mapping found for mouse
#> 1 organism identified from search: 10090
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Checking for genes without orthologs in human.
#> Extracting genes from input_gene.
#> 17,355 genes extracted.
#> Extracting genes from ortholog_gene.
#> 17,355 genes extracted.
#> Checking for genes without 1:1 orthologs.
#> Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
#> Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
#> Filtering gene_df with gene_map
#> Adding input_gene col to gene_df.
#> Adding ortholog_gene col to gene_df.
#>
#> =========== REPORT SUMMARY ===========
#> Total genes dropped after convert_orthologs :
#> 4,725 / 21,207 (22%)
#> Total genes remaining after convert_orthologs :
#> 16,482 / 21,207 (78%)
#> --
#>
#> =========== REPORT SUMMARY ===========
#> 16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
#> 16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
#> Gathering ortholog reports.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Gene table with 19,129 rows retrieved.
#> Returning all 19,129 genes from human.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Gene table with 19,129 rows retrieved.
#> Returning all 19,129 genes from human.
#> --
#>
#> =========== REPORT SUMMARY ===========
#> 19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
#> 19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
#> 16,482 intersect background genes used.
#> Standardising CellTypeDataset
#> Checking gene list inputs.
#> Running without gene size control.
#> 17 hit gene(s) remain after filtering.
#> Computing gene scores.
#> Using previously sampled genes.
#> Computing gene counts.
#> Testing for enrichment in 7 cell types...
#> Sorting results by p-value.
#> Computing BH-corrected q-values.
#> 1 significant cell type enrichment results @ q<0.05 :
#> CellType annotLevel p fold_change sd_from_mean q
#> 1 microglia 1 0 2.042317 4.460971 0
plt <- MultiEWCE::ewce_plot(total_res = full_results$results)