bnediction/scBoolSeq
scBoolSeq: scRNA-Seq data binarisation and synthetic generation from Boolean dynamics
This tool helps biologists and geneticists convert complex single-cell RNA sequencing (scRNA-Seq) data into a simplified, interpretable format, showing gene activity as either 'on' or 'off'. It takes raw scRNA-Seq expression matrices and outputs binarized gene expression states. Researchers analyzing gene regulatory networks or cell state transitions will find this useful.
No commits in the last 6 months. Available on PyPI.
Use this if you need to simplify high-dimensional scRNA-Seq data into clear, binary gene activity states or generate synthetic scRNA-Seq data based on theoretical Boolean network models.
Not ideal if your primary goal is differential expression analysis or visualizing continuous gene expression levels without binarization.
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Language
Python
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Last pushed
Aug 13, 2025
Commits (30d)
0
Dependencies
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/bnediction/scBoolSeq"
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