pyXenium.gmi.ContourGmiDataset#

class ContourGmiDataset(X, y, sample_metadata, feature_metadata, config, provenance=<factory>)#

Bases: object

A contour-level design matrix and binary endpoint for GMI.

Parameters:

  • X (DataFrame)

  • y (Series)

  • sample_metadata (DataFrame)

  • feature_metadata (DataFrame)

  • config (Mapping[str, Any])

  • provenance (Mapping[str, Any])

__init__(X, y, sample_metadata, feature_metadata, config, provenance=<factory>)#
Parameters:

  • X (DataFrame)

  • y (Series)

  • sample_metadata (DataFrame)

  • feature_metadata (DataFrame)

  • config (Mapping[str, Any])

  • provenance (Mapping[str, Any])

Return type:

None

Methods

__init__(X, y, sample_metadata, ...[, ...])

subset(sample_ids)

Attributes

X

y

sample_metadata

feature_metadata

config

provenance

X: DataFrame#
y: Series#
sample_metadata: DataFrame#
feature_metadata: DataFrame#
config: Mapping[str, Any]#
provenance: Mapping[str, Any]#
subset(sample_ids)#
Parameters:

sample_ids (Sequence[str])

Return type:

ContourGmiDataset