AnalysisQuery.md

AnalysisQuery

Criteria on a pipeline analysis. Group criteria (medical_condition, species, has_patients, has_healthy) match when any group the analysis ran on matches.

Properties

Name	Type	Description	Notes
name	AnalysisQueryText		[optional]
medical_condition	AnalysisQueryMedicalCondition		[optional]
has_patients	AnalysisQueryBoolean		[optional]
has_healthy	AnalysisQueryBoolean		[optional]
species	AnalysisQueryText		[optional]
task	AnalysisQueryNormalized		[optional]
spatial_scope	AnalysisQueryText		[optional]
coordinate_space	AnalysisQueryText		[optional]
measure_type	AnalysisQueryText		[optional]
measure_family	AnalysisQueryText		[optional]
details_type	AnalysisQueryText		[optional]
is_meta_analysis	AnalysisQueryBoolean		[optional]
n	AnalysisQueryRange		[optional]
has_coordinates	AnalysisQueryBoolean		[optional]
role	AnalysisQueryText		[optional]
contrast	AnalysisQueryContrast		[optional]
design	AnalysisQueryDesign		[optional]
var_or	List[Dict[str, object]]	Sub-queries, any of which may match; each takes this object's criteria. (Not a $ref to this schema, which resolvers that inline references cannot expand.)	[optional]

Example

from neurostore_sdk.models.analysis_query import AnalysisQuery

# TODO update the JSON string below
json = "{}"
# create an instance of AnalysisQuery from a JSON string
analysis_query_instance = AnalysisQuery.from_json(json)
# print the JSON string representation of the object
print(AnalysisQuery.to_json())

# convert the object into a dict
analysis_query_dict = analysis_query_instance.to_dict()
# create an instance of AnalysisQuery from a dict
analysis_query_from_dict = AnalysisQuery.from_dict(analysis_query_dict)

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