sctop.processing¶

Functions¶

`process`(→ pandas.DataFrame)	Process scRNA-seq data with optional chunking.
`score`(→ Union[pandas.DataFrame, List])	Project sample onto basis with optional chunking.
`rank_zscore_fast`(→ numpy.ndarray)	Rank-based normal scores transformation.

Module Contents¶

sctop.processing.process(df_in: pandas.DataFrame | numpy.ndarray | scipy.sparse.spmatrix, average: bool = False, chunk_size: int | None = None) → pandas.DataFrame[source]¶: Process scRNA-seq data with optional chunking.

sctop.processing.score(basis: pandas.DataFrame, sample: pandas.DataFrame, full_output: bool = False, chunk_size: int | None = None) → pandas.DataFrame | List[source]¶: Project sample onto basis with optional chunking.

sctop.processing.rank_zscore_fast(arr: numpy.ndarray) → numpy.ndarray[source]¶: Rank-based normal scores transformation.