Multiplex Image Labeling With Regional Morphology
Consensus tissue region identification from multiplex molecular image data for digital pathology
Install from PyPI:
pip install MILWRMOr compile from source:
git clone https://github.com/Ken-Lau-Lab/MILWRM.git
cd MILWRM
python setup.py installSee the tutorials directory for Jupyter notebooks detailing usage of MILWRM
Full documentation is available at ken-lau-lab.github.io/MILWRM
2 maintainers
Release files for MILWRM 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MILWRM-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / MILWRM-1.1.1-py3-none-any.whl
| Download URL | MILWRM-1.1.1-py3-none-any.whl |
|---|---|
| Size | 35.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
67a0a473dcf378b723625fa42dff541caeeac7cc893674e43ec4861e60d2a180
|
|
BLAKE2b-256 checksum How to use checksums |
1a822d0ce3d3e9cbcec6dc779efb48606cbce4875ddd51b0c6747704f8f12be7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
|
