waltlabtools 0.3.2

A collection of tools for biomedical research assay analysis in Python.

A collection of tools for biomedical research assay analysis in Python.

Key Features

• Analysis for assays such as digital ELISA

• Read alculation of calibration curves, concentrations, limits of detection, and more

• Free and open-source software under the GNU General Public License v3

Getting Started

• The full documentation is at Read the Docs

• Installation:

  • conda (recommended): conda install -c tylerdougan waltlabtools

  • PyPI: pip install waltlabtools

• Dependencies:

  • waltlabtools requires

    • numpy ≥ 1.10.0

    • scipy ≥ 1.3

  • Specific modules have additional requirements:

    • waltlabtools.mosaic requires

      • jax ≥ 0.2

      • pandas ≥ 0.25

      • scikit-learn ≥ 0.21

      • tk ≥ 8.5

    • waltlabtools.read_hdx requires

      • pandas ≥ 0.25

      • tk ≥ 8.5

  • To make the best use of waltlabtools, you may want to install pandas (for data import/export and organization), scikit-learn (for data analysis), matplotlib (for plotting), and JupyterLab (for writing code). These can all be installed using conda or pip.

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Development of waltlabtools is led by the Walt Lab for Advanced Diagnostics at Brigham and Women’s Hospital, Harvard Medical School, and the Wyss Institute for Biologically Inspired Engineering.