Disease cell atlas approximations, python API
Project description
Atlasapprox-Diseases
atlasapprox-diseases is a Python package for accessing disease cell atlas approximations.
Installation
You can install the package from PyPI:
pip install atlasapprox-disease
Usage
Example 1:
To look at differential cell type abundance of a disease of interet
from atlasapprox_diseases import API
api = API()
result = api.diff_celltype_abundance(disease_keyword="flu")
print(result)
Expected Output
[
{
"disease": "influenza",
"dataset_id": "de2c780c-1747-40bd-9ccf-9588ec186cee",
"cell_type": "blood cell",
"normal_count": 309,
"disease_count": 216,
"total_count": 525,
"normal_pct": 58.857142857142854,
"disease_pct": 41.14285714285714,
"delta_fraction": -17.714285714285715
},
{
...
"cell_type": "erythrocyte",
"normal_count": 184,
"disease_count": 309,
...
} ...
Example 2:
To look at top N differentially expressed genes of a disease of interet
result = api.api.diff_gene_expression(disease_keyword="immunodeficency")
print(result)
Expected output
[
{
"disease": "common variable immunodeficiency",
"dataset_id": "a5d95a42-0137-496f-8a60-101e17f263c8",
"condition": "common variable immunodeficiency",
"cell_type": "naive B cell",
"regulation": "up",
"feature_name": "ENSG00000044574",
"expr_normal": 0.676017701625824,
"expr_disease": 4.170171737670898,
"frac_normal": 0.09770114719867706,
"frac_disease": 0.21674877405166626,
"log2_fc": 1.6251747608184814,
"delta_change": 3.4941539764404297
},
{
...
"feature_name": "ENSG00000168734",
...
},
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