Find Marker Genes At Once¶
-
findMarkers_one_vs_all()
Identify marker genes for all clusters in a one vs all manner.
findMarkers_one_vs_all(
gobject,
expression_values = c("normalized", "scaled", "custom"),
cluster_column,
subset_clusters = NULL,
method = c("scran", "gini", "mast"),
pval = 0.01,
logFC = 0.5,
min_genes = 10,
min_expr_gini_score = 0.5,
min_det_gini_score = 0.5,
detection_threshold = 0,
rank_score = 1,
adjust_columns = NULL,
verbose = TRUE,
...
)
Arguments¶
gobject |
giotto object |
expression_values |
gene expression values to use |
cluster_column |
clusters to use |
subset_clusters |
selection of clusters to compare |
method |
method to use to detect differentially expressed genes |
pval |
scran & mast: filter on minimal p-value |
logFC |
scan & mast: filter on logFC |
min_genes |
minimum genes to keep per cluster, overrides pval and logFC |
min_expr_gini_score |
gini: filter on minimum gini coefficient for expression |
min_det_gini_score |
gini: filter minimum gini coefficient for detection |
detection_threshold |
gini: detection threshold for gene expression |
rank_score |
gini: rank scores to include |
adjust_columns |
mast: column in pDataDT to adjust for (e.g. detection rate) |
verbose |
be verbose |
… |
additional parameters for the findMarkers function in scran or zlm function in MAST |
Value¶
A data.table with marker genes
Details¶
Wrapper for all one vs all functions to detect marker genes for clusters.