scapeML/scape
Single-cell Analysis of Perturbational Effects using Machine Learning
Scape helps scientists and researchers predict how individual cells will respond to different drug treatments. It takes in existing single-cell gene expression data and drug perturbation information, then outputs predictions of how gene activity (differential expression) will change in response to new drugs or treatments. This tool is designed for biologists, pharmacologists, or biomedical researchers working with single-cell data who need to model cellular reactions to drug compounds.
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Use this if you need to predict gene expression changes in single cells exposed to drugs, especially when exploring potential drug effects or screening compounds.
Not ideal if you are looking for a tool to analyze bulk RNA sequencing data or predict broader tissue-level responses.
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17
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Language
Python
License
MIT
Category
Last pushed
Oct 09, 2025
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