Quantitative Analysis in Python.
Project description
Quanp – Quantitative Analysis in Python
Quanp is a scalable toolkit for analyzing cross-sectional and longitudinal/time-series quantitative data. It was first inspired by scanpy and jointly built with anndata. It includes preprocessing, visualization, clustering, features selection/importance.
Read the documentation. If you’d like to contribute by opening an issue or creating a pull request, please take a look at our contributing guide. If Quanp is useful for your research, consider being a contributor.
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
quanp-0.1.22.tar.gz
(99.7 MB
view details)
File details
Details for the file quanp-0.1.22.tar.gz
.
File metadata
- Download URL: quanp-0.1.22.tar.gz
- Upload date:
- Size: 99.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d877f1b72d89ca0b5b080bc72eea2d31c11fad453cc92a8d15b4002212514805 |
|
MD5 | 7612b1a178eb70e4c4e501dcd56b2d50 |
|
BLAKE2b-256 | 514840f96d81dbefaa6aad02fe4ee20baaf71b1b43f927e4f755126c13f4ffa3 |