Python package for predicting cell cycle stage from DAPI images
Project description
CellCycleNet
Installation
Option 1: Install via pip: pip install cellcyclenet
Option 2: Install via conda or build the development conda environment: see documentation
Running the included examples
-
After installation, download
example_data.zipfrom here. -
Try running the included examples on these example files using the included example notebooks:
- Example #1: Predict cell cycle stage from segmented DAPI images
- Example #2: Fine tune pre-trained model with additional training
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
cellcyclenet-0.1.1.tar.gz
(6.2 MB
view hashes)
Built Distribution
Close
Hashes for cellcyclenet-0.1.1-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ef54561cd7bbaff68bb98ff3a8d5196f2d2fb6173e54c96eae5977e67a05bca2 |
|
| MD5 | 9cba410cc5239997f623ea5b311f4a4f |
|
| BLAKE2b-256 | d14282fe6bf739fdc412983ac5e77e10f50ed85137b3fd346018847e9e82432c |