A collection of tools for biomedical research assay analysis in Python.
Project description
title: 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
waltlabtools
can be installed using conda or from 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 ofwaltlabtools
, you may want to install pandas (for data import/export and organization), scikit-learn, matplotlib (for plotting), and JupyterLab (for writing code). These can all be installed using conda or pip, and may become dependencies in future releases.
Functions and Classes
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.
Project details
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waltlabtools-0.2.37.tar.gz
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