A framework for generating single-cell gene expression data
Project description
A framework for generating single-cell gene expression data
WHL
If you just want to use this repo, you may download whl, install it using pip. (very fast)
cellbin-0.7.0 whl and later will move to the drive below
BGI new cloud
- Have shared link to product, develop and research
- If you do not have permission, please ask dengzhonghan@genoimics.cn
cellbin-0.6.2 and older whl, please see below link
Installation
Both on Windows or Linux (CentOS, Ubuntu), just
pip install -r requirements.txt
Pyvips linux installation
# linux environ install pyvips using conda
conda install --channel conda-forge pyvips
Pyvips windows install vips from vips
pip install --user pyvips==2.2.1
# add vips path when running python script
import os
vipsbin = r'c:\vips-dev-8.13\bin'
os.environ['PATH'] = vipsbin + ';' + os.environ['PATH']
Develop mode
git clone https://gitlab.genomics.cn/biointelligence/implab/stero-rnd/cellbin/algorithms/cellbin.git
conda activate env # activate your env
python setup.py develop --no-deps # develop mode, if you already have deps installed
Usage
- API doc
- How to get weights?
contribute
We love your input! We want to make contributing to cellbin as easy and transparent as possible. Please see,
- When you need to change other people's modules, remember to note the change information in the change location. like,
a = 0 # parameter value to zero [by jack]
Thank you to all our contributors!
Cellbin HUB
Contact
For cellbin bugs and feature requests please visit
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