Description Usage Arguments Details Value
This function calculates differentially expressed (DE) genes, marker genes
and cell outliers based on the consensus sc3min
clusterings.
1 2 3 4 5 | sc3min_calc_biology.SingleCellExperiment(object, ks, regime)
## S4 method for signature 'SingleCellExperiment'
sc3min_calc_biology(object, ks = NULL,
regime = NULL)
|
object |
an object of |
ks |
a continuous range of integers - the number of clusters |
regime |
defines what biological analysis to perform. "marker" for marker genes, "de" for differentiall expressed genes and "outl" for outlier cells |
DE genes are calculated using get_de_genes
. Results of the DE
analysis are saved as new columns in the
featureData
slot of the input object
. The column names correspond
to the adjusted p-value
s of the genes and have the following format:
sc3min_k_de_padj
, where k
is the number of clusters.
Marker genes are calculated using get_marker_genes
.
Results of the marker gene analysis are saved as three new
columns (for each k
) to the
featureData
slot of the input object
. The column names correspond
to the sc3min
cluster labels, to the adjusted p-value
s of the genes
and to the area under the ROC curve
and have the following format: sc3min_k_markers_clusts
,
sc3min_k_markers_padj
and sc3min_k_markers_auroc
, where k
is
the number of clusters.
Outlier cells are calculated using get_outl_cells
. Results of the
cell outlier analysis are saved as new columns in the
phenoData
slot of the input object
. The column names correspond
to the log2(outlier_score)
and have the following format:
sc3min_k_log2_outlier_score
, where k
is the number of clusters.
Additionally, biology
item is added to the sc3min
slot and is set to
TRUE
indicating that the biological analysis of the dataset has been
performed.
an object of SingleCellExperiment
class
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