reiterlablib (rll)

A collection of different modules providing methods for frequently used computations and visualizations used in the reiterlab. See some of our developed software on our Github page https://github.com/reiterlab.

Installation

To install the latest release of rll, run pip install rll

*If you want to customize some functions, it is best to:

1. Clone the repository from Github with git clone https://github.com/reiterlab/reiterlablib.git
2. Create distribution package by going to the main folder with cd reiterlablib and run python setup.py clean sdist bdist_wheel
3. Install rll to your python environment by running pip install -e .
4. Test installation with python -c 'import rll' and pytest tests/

Releases

• rll v0.1.0 2020-12-11: Initial release of package.
• rll v0.1.2 2020-12-11: Added flexibility with legend display.
• rll v0.1.3 2021-01-04: Added functions to convert different measures of tumor sizes.
• rll v0.1.4 2021-02-04: Adding custom text labels to histograms. Added barplots.
• rll v0.1.5 2021-04-09: Added some additional plotting options to barplots and xyplots. Added options for marker sizes. Added option for grouped histograms.
• rll v0.1.6 2021-04-09: Reading SEER data.

License

These methods are licensed under the GNU General Public License, Version 3. The methods are free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License. There is no warranty for this free software.

Translational Cancer Evolution Laboratory, Canary Center for Cancer Early Detection, Stanford University, https://reiterlab.stanford.edu