A collection of tools for biomedical research assay analysis in Python.
Project description
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.
Getting Started
The full documentation is at Read the Docs.
Installation: waltlabtools can be installed using conda or pip. In the command line,
conda: conda install -c tylerdougan waltlabtools
pip: pip install waltlabtools
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), scikit-learn (for data analysis), matplotlib (for plotting), and JupyterLab (for writing code). These can all be installed using conda or pip, 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 for Biologically Inspired Engineering.
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