Skip to main content

scevow: Excellent optimization of variant function mapping through weighted random walks at single-cell resolution

Project description

scevow

scevow: Excellent optimization of variant function mapping through weighted random walks at single-cell resolution

scevow: 通过单细胞分辨率下的加权随机游走对突变功能映射进行优化

1. 介绍

2. 上传

upload

test

python3 -m build
twine check dist/*
twine upload --repository testpypi dist/*

production

python3 -m build
twine check dist/*
twine upload dist/*

3. 使用

vim ~/.bashrc
export OMP_NUM_THREADS=1
export OPENBLAS_NUM_THREADS=1
source ~/.bashrc

test

pip3 install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
pip3 install scLift -i https://test.pypi.org/simple/

production

pip3 install scLift

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sclift-0.0.56.tar.gz (61.3 kB view details)

Uploaded Source

Built Distribution

scLift-0.0.56-py3-none-any.whl (76.0 kB view details)

Uploaded Python 3

File details

Details for the file sclift-0.0.56.tar.gz.

File metadata

  • Download URL: sclift-0.0.56.tar.gz
  • Upload date:
  • Size: 61.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.0

File hashes

Hashes for sclift-0.0.56.tar.gz
Algorithm Hash digest
SHA256 9d7a5367d113d9190ba3e272f47749bd4af9bed1ddb0d6764764c198bafc1cd8
MD5 73e7d7dfaeec60b2bf5e1ffb23c7f6d7
BLAKE2b-256 fd6d8383d53eb62a052fed0658074c3e4e27588cb18744ebb17ec019cb20c217

See more details on using hashes here.

File details

Details for the file scLift-0.0.56-py3-none-any.whl.

File metadata

  • Download URL: scLift-0.0.56-py3-none-any.whl
  • Upload date:
  • Size: 76.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.0

File hashes

Hashes for scLift-0.0.56-py3-none-any.whl
Algorithm Hash digest
SHA256 04153f1badf331c22ed1e78a27f5a1dd97ff500893ea652007b2be18fa209f4e
MD5 c8ceac613bee97590264660474a8fe5a
BLAKE2b-256 60907245094fd29e60d2f8f93245b8463890c493e646ceb213add300ecb0df3e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page