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Transform data for processing image-based profiling readouts with Pycytominer.

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CytoTable

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Summary

CytoTable enables single-cell morphology data analysis by cleaning and transforming CellProfiler (.csv or .sqlite), cytominer-database (.sqlite), and DeepProfiler (.npz) output data at scale. CytoTable creates parquet files for both independent analysis and for input into Pycytominer. The Parquet files will have a unified and documented data model, including referenceable schema where appropriate (for validation within Pycytominer or other projects).

Installation

Install CytoTable with the following command:

pip install git+https://github.com/cytomining/CytoTable.git

Contributing, Development, and Testing

Please see contributing.md for more details on contributions, development, and testing.

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Transform data for processing image-based profiling readouts with Pycytominer.

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  • Python 92.5%
  • CUE 7.5%