"""
disease_target_score
Extract disease-target association scores from a specific data source using GraphQL API. This too...
"""
from typing import Any, Optional, Callable
from ._shared_client import get_shared_client
[docs]
def disease_target_score(
efoId: str,
datasourceId: str,
pageSize: int,
*,
stream_callback: Optional[Callable[[str], None]] = None,
use_cache: bool = False,
validate: bool = True,
) -> dict[str, Any]:
"""
Extract disease-target association scores from a specific data source using GraphQL API. This too...
Parameters
----------
efoId : str
The EFO (Experimental Factor Ontology) ID of the disease, e.g., 'EFO_0000339'...
datasourceId : str
The datasource ID to extract scores from. Available options: 'chembl', 'eva',...
pageSize : int
Number of results per page (default: 100, max: 100)
stream_callback : Callable, optional
Callback for streaming output
use_cache : bool, default False
Enable caching
validate : bool, default True
Validate parameters
Returns
-------
dict[str, Any]
"""
# Handle mutable defaults to avoid B006 linting error
return get_shared_client().run_one_function(
{
"name": "disease_target_score",
"arguments": {
"efoId": efoId,
"datasourceId": datasourceId,
"pageSize": pageSize,
},
},
stream_callback=stream_callback,
use_cache=use_cache,
validate=validate,
)
__all__ = ["disease_target_score"]
