LiquidSig - cfRNA Deconvolution

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  • License: MIT License (MIT)
  • Author: Nick Semenkovich
  • Requires: Python <4.0, >=3.10
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Project description

LiquidSig — Cell-free RNA signatures

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Features

  • Deconvolute cfRNA data
  • Derive tissue & organ-specific signatures
    • For early malignancy detection & MRD
    • For predicting tissue of origin
    • For identification of end-organ damage (e.g., in sepsis)

Requirements

  • Python 3.10+
  • Quantified transcripts (from cfRNA), in . format

Installation

You can install Liquidsig via pip from PyPI:

pip install liquidsig

Usage

Please see the Reference Guide for details.

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

For non-commercial use only. Copyright © Nick Semenkovich & Medical College of Wisconsin 2024-2025

Issues

If you encounter any problems, please file an issue along with a detailed description.

Credits

This project was generated from Statistics Norway's SSB PyPI Template.

Project details

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  • License: MIT License (MIT)
  • Author: Nick Semenkovich
  • Requires: Python <4.0, >=3.10
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0.0.4

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0.0.3

0.0.2

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