cycleenrichr

Name	cycleenrichr JSON
Version	0.0.8 JSON
	download
home_page	https://github.com/maayanlab/cycleenrichr
Summary	Cycleenrichr uses PrismEXP predictions to calculate enrichment of gene sets that do not have gene annotations.
upload_time	2024-03-29 02:55:40
maintainer	None
docs_url	None
author	Alexander Lachmann
requires_python	>=3.7
license	None
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            ### Cycle Enrichr

Enrichment of gene sets with no gene annotations leveraging ARCHS4 and PrismExp gene function prediction.


## Usage

#### Installation
```
pip3 install cycleenrichr
```
#### Download Prediction File
```python
# download precomputed predictions file from PrismExp

import cycleenrichr as cycle
cycle.load.download("predictions.h5")
```

### Run Set Enrichment for Gene Set Library

```python
import cycleenrichr as cycle

# load gene set libary from Enrichr
library = cycle.enrichr.get_library("KEGG_2021_Human")

predictions_path = "predictions.h5"

result = cycle.enrichment.enrich(library, predictions_path)
```

            

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