Metadata-Version: 2.4
Name: topicpy
Version: 0.3.2
Summary: Package to extract information from topic models.
Home-page: https://github.com/fvalle1/topicpy
Author: Filippo Valle
Author-email: filippo.valle@unito.it
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tensorflow
Requires-Dist: gseapy
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Requires-Dist: tensorflow_probability
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: pandas
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

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# topicpy
Python package for topic modelling pre and post processing

# Install

This is available trough [pip](https://pypi.org/project/topicpy/)
`pip install topicpy`

# Modules

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

# Documentation
[https://topicpy.readthedocs.io/en/latest/](https://topicpy.readthedocs.io/en/latest/)

# Test
Run unittest with

``` python
python test/test.py
```

# License
See [LICENSE](LICENSE)
