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@@ -6,7 +6,7 @@ paper: "[A versatile information retrieval framework for evaluating profile stre
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## Getting started
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### System requirements
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copairs supports Python 3.9+ and should work with all modern operating systems (tested with MacOS 13.5, Ubuntu 18.04).
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This repository supports Python 3.9+ and should work with all modern operating systems (tested with MacOS 13.5, Ubuntu 18.04).
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### Dependencies
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This code depends on widely used Python packages:
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* umap-learn
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* scikit-learn
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It also uses [pycytominer](https://github.com/alxndrkalinin/pycytominer/tree/fix-ops-custom-features) for profiling data preprocessing and [copairs](https://github.com/cytomining/copairs/tree/v0.4.2) for profile grouping and mAP calculations.
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It also uses [pycytominer](https://github.com/alxndrkalinin/pycytominer/tree/fix-ops-custom-features) for profiling data preprocessing and [copairs](https://github.com/cytomining/copairs/tree/v0.4.3) for profile grouping and mAP calculations.
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### Installation
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pip install .
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```
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#### R installation
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Preprocessing of [Perturb-seq data](./experiments/6_perturbseq/) requires creating a separate R environment:
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