Closed allyhawkins closed 1 year ago
Some details about what belongs here:
Noting some of was captured in #133, which I'm going to close in favor of collecting everything in this issue.
SingleR
was run...metadata
in the processed SCE:
singler_results
is the full SingleR
objectsingler_reference_name
is the reference dataset namesingler_reference_label
is the label type that was used in the reference (generally label.ont
)celltype_methods
vector will contain "singler"
colData
in the processed SCE:
singler_celltype_annotation
are the annotated cell types, taken from pruned labels (so unclassified are NA
)singler_celltype_ontology
is the ontology for the cell type. Only present if ontologies were used for cell typing in the first placeCellAssign
was run...metadata
in the processed SCE:
cellassign_predictions
are matrix of all predictions; full result analogous to singler_results
cellassign_reference
is the organ for which marker genes were obtained from PanglaoDBcelltype_methods
vector will contain "cellassign"
colData
in the processed SCE:
cellassign_celltype_annotation
are the annotated cell types where unclassified are labeled as "other"cellassign_max_prediction
is the prediction score, which is a probability of the assigned celltype given the provided cell typesMore details!
SingleR
implementationcelldex
package. pruned.labels
to the colDataCellAssign
implementationClosed by #134
We will need to update both the processing information doc and the SCE contents documents to include information about the available cell type annotations.