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:
Dependencies:
waltlabtools requires
Specific modules have additional requirements:
waltlabtools.mosaic requires
jax ≥ 0.2
pandas ≥ 0.25
scikit-learn ≥ 0.21
waltlabtools.read_quanterix requires
pandas ≥ 0.25
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.
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.