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[![Documentation][badge-docs]][documentation]
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[badge-tests]: https://img.shields.io/github/actions/workflow/status/aertslab/tfmindi/test.yaml?branch=main
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[badge-docs]: https://img.shields.io/readthedocs/tfmindi
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[badge-docs]: https://img.shields.io/readthedocs/tf-mindi
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**TF-MInDi** is a Python package for analyzing transcription factor binding patterns from deep learning model attribution scores. It identifies and clusters sequence motifs from contribution scores, maps them to DNA-binding domains, and provides comprehensive visualization tools for regulatory genomics analysis.
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## Getting Started
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Please refer to the [documentation](https://tf-mindi.readthedocs.io/en/latest/index.html) for detailed tutorials and examples,
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in particular, the [API documentation](https://tf-mindi.readthedocs.io/en/latest/api.html) and [Tutorials](https://tf-mindi.readthedocs.io/en/latest/tutorials.html)
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## Key Features
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- **Seqlet Extraction**: Identifies important sequence regions from contribution scores using recursive seqlet calling from `tangermeme`
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tm.pl.dbd_heatmap(adata)
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```
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## Getting Started
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Please refer to the [documentation][] for detailed tutorials and examples,
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in particular, the [API documentation][].
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## Release Notes
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See the [changelog][].

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