waltlabtools
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.
GitHub - tylerdougan/waltlabtools: A collection of tools for assay analysis, developed for the Walt Lab.
A collection of tools for assay analysis, developed for the Walt Lab. - GitHub - tylerdougan/waltlabtools: A collection of tools for assay analysis, developed for the Walt Lab.
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