Heimdall.fe.BinningFe

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Heimdall.fe.BinningFe#

class Heimdall.fe.BinningFe(data, num_bins, **fe_kwargs)[source]#

Bases: Fe

Value-binning Fe from scGPT.

Parameters:

  • adata – input AnnData-formatted dataset, with gene names in the .var dataframe.

  • d_embedding – dimensionality of embedding for each expression entity

  • embedding_parameters – dimensionality of embedding for each expression entity

  • num_bins (int) – number of bins to generate

  • data (CellRepresentation)

Attributes

Methods

binning(row, n_bins)

Binning the row into n_bins, placing zeros into bin 0, preserving NaNs.
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