Multi-omics factor analysis

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gtca from gravatar.com gtca Avatar for rargelaguet from gravatar.com rargelaguet

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPL-3.0)
  • Author: Ricard Argelaguet
  • Requires: Python <4.0, >=3.8
Classifiers

Project description

Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gtca from gravatar.com gtca Avatar for rargelaguet from gravatar.com rargelaguet

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPL-3.0)
  • Author: Ricard Argelaguet
  • Requires: Python <4.0, >=3.8
Classifiers

Release history Release notifications | RSS feed

This version

0.7.2

0.7.1

0.7.0

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.8

0.5.7

0.5.6

0.5.4

0.5.3

0.5.2

0.5.1

0.5

0.4

0.3

0.2

0.1

Download files

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

Source Distribution

mofapy2-0.7.2.tar.gz (948.7 kB view details)

Uploaded Source

Built Distribution

mofapy2-0.7.2-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file mofapy2-0.7.2.tar.gz.

File metadata

  • Download URL: mofapy2-0.7.2.tar.gz
  • Upload date:
  • Size: 948.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for mofapy2-0.7.2.tar.gz
Algorithm Hash digest
SHA256 3bd7a2a7529ea7a9a91b22393079141b6e5ba5fa9c0895cdf6ff002dc26229f9
MD5 9c1fb56cbaf790791f295d761273c8f8
BLAKE2b-256 c981d853feb61cc748291415ce81b3b98acf9060e42a7e14f79675ca6442d2f1

See more details on using hashes here.

File details

Details for the file mofapy2-0.7.2-py3-none-any.whl.

File metadata

  • Download URL: mofapy2-0.7.2-py3-none-any.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for mofapy2-0.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 7d1e73e1d189c9ff3bdd529d91201fbdc4dac635b4c9bae6b08a4902563abb49
MD5 cd2e44938243bdb2189b2df967e8be41
BLAKE2b-256 ab3a2a3785948d23c7d4e61eb3b0369d103131532b0e7f1635f2d5020f03a333

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