Skip to main content

scCPEP

Project description

scCPEP

scCPEP is a Python package containing tools for scRNA-seq cell type identifiication based on an ensemble pruning model.

Installation Guide

Install from PyPi:

pip install scCPEP

Before running the tool, we recommend creating an environment locally using ‘’‘conda’‘’ first, then you need to install the following packages in your environment, scMGCA mainly depends on the followinb Python packages:

python:

python=3.7.12
pycaret=2.3.10
scanpy
rpy2
r-devtools

After installing the python package, switch to '''R''' environment, and install the following tool:

R:

library(devtools)
install_github("suke18/FEAST")

Usage

cd scCPEP
mkdir MLmodels
mkdir tmp
python run.py

Data Availability

The data sets we used can be download in datas.

License

This project is covered under the MIT License.

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

scCPEP-1.0.0.tar.gz (7.6 kB view details)

Uploaded Source

Built Distribution

scCPEP-1.0.0-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file scCPEP-1.0.0.tar.gz.

File metadata

  • Download URL: scCPEP-1.0.0.tar.gz
  • Upload date:
  • Size: 7.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.12

File hashes

Hashes for scCPEP-1.0.0.tar.gz
Algorithm Hash digest
SHA256 166bcf31b2dd4e83b8a1f736cc8b661b00d54d75e629a9ea1ed481dd67a18b59
MD5 f65e6c4a75564924f20b0506f3dfb8de
BLAKE2b-256 b6bfb009b71f8faad10b62232fb145e4c6c03a9f7cfcb748c62a26d441952896

See more details on using hashes here.

File details

Details for the file scCPEP-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: scCPEP-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.12

File hashes

Hashes for scCPEP-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6f308497251819352cd34463f3d4f6cd7db79f7d543ffe14cc8aae2010286887
MD5 690968846dbc6f8977e2f5ecc37cd1b6
BLAKE2b-256 2b2fc043174f089f7a53634b454bd5b60b8bd0c48e088dbe9eddc21ed77f5746

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