Skip to main content

Package to extract information from topic models.

Project description

Python application CodeQL made-with-sphinx-doc GitHub


Python package for topic modelling pre and post processing


This package consists of multiple modules:

  • converter: handels gene name conversions
  • geneontology: uses GSEA to perform gene ontologies
  • gtex: handle GTEx data
  • hsbmpy: handle ouput of hierarchical stochastic block model
  • hypergeom: perform hypergeometric tests
  • lda: Run sklearn LatenDirichletAllocation with some more parameters
  • tableanalyser: study distributions of a RNA-Seq data
  • TCGA_files: handle TCGA metadata



Run unittest with

python test/



Project details

Download files

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

Source Distributions

No source distribution files available for this release. See tutorial on generating distribution archives.

Built Distribution

topicpy-0.2.1-py3.8.egg (69.0 kB view hashes)

Uploaded 0 2 1

Supported by

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