make_anno

besca.tl.sig.make_anno(df: DataFrame, sigscores: dict, sigconfig: DataFrame, levsk: list, lab: str = 'celltype', toexclude: list = []) → DataFrame[source]

Annotate cell types Based on a dataframe of -log10pvals, a cutoff and a signature set generate cell annotation Hierarchical model of Immune cell annotation. It expects a specific set of signatures with a common prefix (signame) and specified suffixes indicating the cell type.

Parameters:

  • mypFrame (panda.DataFrame) – a dataframe of -log10pvals per signature and cell cluster

  • sigscores (dict) – a dictionary with cluster attribution per signature

  • sigconfig (panda.DataFrame) – a dataframe with the configuration information

  • levsk (list of str) – String of distinct levels based on configuration file

  • lab ('str') – cell type category base name

  • toexclude (list of str) – String of cell types to ignore in the annotation process

Returns:

cnames – a dataframe with cluster to cell type attribution per distinct levels

Return type:

panda.DataFrame