Skip to main content

Impetuous Quantification, Enrichment and Group Factor Analysis

Project description

Simple Group Factor Analysis

Decomposes a set of expressions into a group expression. The expression regulation can be studied via an ANOVA that relates it to the observables in the journal file. The final p values are then FDR corrected and the resulting q values are produced.

The journal and analyte expression file must be ordered the same way with respect to the samples that are positioned on the columns.

Visit the active code via : https://github.com/richardtjornhammar/impetuous

Visit the published code : https://doi.org/10.5281/zenodo.2594691

Cite using : DOI: 10.5281/zenodo.2594691

Install with : pip install impetuous-gfa

Project details


Release history Release notifications | RSS feed

This version

0.5.2

Download files

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

Source Distribution

impetuous-gfa-0.5.2.tar.gz (17.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

impetuous_gfa-0.5.2-py3-none-any.whl (24.7 kB view details)

Uploaded Python 3

File details

Details for the file impetuous-gfa-0.5.2.tar.gz.

File metadata

  • Download URL: impetuous-gfa-0.5.2.tar.gz
  • Upload date:
  • Size: 17.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for impetuous-gfa-0.5.2.tar.gz
Algorithm Hash digest
SHA256 f4baa263079e878a53f92f1a3537a56d681e18e15a17b951e34793f698a42d12
MD5 05d15a4349d105f50bbf53b815b69e96
BLAKE2b-256 540fad90fdc39e25ae684fbca52fb50638e0f74a3539fb4eec7fd6b603437d6d

See more details on using hashes here.

File details

Details for the file impetuous_gfa-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: impetuous_gfa-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 24.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for impetuous_gfa-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 45815c91272f55fcb18d121810c4a52fdff37bfd6a097f3535372cf92eefeb2e
MD5 6e464b9c0ee86c7d8061e62b06f56b16
BLAKE2b-256 2b46a355151e37bb30a2c5be0c95f8b48a913f9753397610386b2f31ea841470

See more details on using hashes here.

Supported by

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