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Cycleenrichr uses PrismEXP predictions to calculate enrichment of gene sets that do not have gene annotations.

Project description

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

# download precomputed predictions file from PrismExp

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

Run Set Enrichment for Gene Set Library

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)

Project details


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Source Distribution

cycleenrichr-0.0.8.tar.gz (8.4 kB view hashes)

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