A collection of tools for biomedical research assay analysis in Python.
Project description
waltlabtools
A collection of tools for biomedical research assay analysis in Python.
Key Features
- Analysis for assays such as digital ELISA.
- Calculation of calibration curves, concentrations, limits of detection, and more.
- Free and open-source software under the GNU General Public License v3.
Installation
- Download waltlabtools from PyPI.
- Dependencies: waltlabtools requires scipy ≥ 1.3.1, and either jax ≥ 0.1.64 or numpy ≥ 1.10.0. To make the best use of waltlabtools, you may want to install pandas (for data import/export and organization), matplotlib (for plotting), and JupyterLab (for writing code). These can all be installed using conda, and may become dependencies in future releases.
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.
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