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
- When waltlabtools is released, it will be available to download from PyPI and conda.
- Dependencies: waltlabtools requires scipy ≥ 1.4.0, and either jax ≥ 0.1.64 or numpy ≥ 1.12. 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.
- For development and testing of the pre-release version, download src/waltlabtools/waltlabtools.py and put it in Python's search path. One simple option is to put this at the top of your code:
import sys sys.path.append("/path/to/waltlabtools") import waltlabtools as wlt
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
waltlabtools-0.1.tar.gz
(22.3 kB
view hashes)
Built Distribution
waltlabtools-0.1-py3-none-any.whl
(21.8 kB
view hashes)
Close
Hashes for waltlabtools-0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dd009ccf057b22de00a701fac2d97becfb076cb711bee9ba3981354ea04ab9ec |
|
MD5 | 3518e5a439a1345a270f50c0ba35a755 |
|
BLAKE2b-256 | 2bfe5e8202228ab762d45ce5adfafa3b0e3e2f1d5cb128061983012d6ca05adb |