pip install gseapy==0.10.5

Gene Set Enrichment Analysis in Python

Source
Among top 10% packages on PyPI.
Over 10.1K downloads in the last 90 days.

Commonly used with gseapy

Based on how often these packages appear together in public requirements.txt files on GitHub.

itolapi

API for interacting with itol.embl.de

atropos

Specific, sensitive, and speedy trimming of NGS reads.

multiqc

Create aggregate bioinformatics analysis reports across many samples and tools

moss

Moss: statistical utilities for cognitive neuroscience.

mwdiffs

A set of utilities for processing revision diffs from MediaWiki data.

mwsessions

A set of utilities for group MediaWiki user actions into sessions.

mwdb

A set of utilities for connecting to and querying a MediaWiki database.

mwpersistence

A set of utilities for measuring content persistence and tracking authorship in MediaWiki revisions.

templateflow

TemplateFlow Python Client - TemplateFlow is the Zone of neuroimaging templates.

mwreverts

A set of utilities for detecting reverts in MediaWiki revisions.

hmms

Discrete-time and continuous-time hidden Markov model library able to handle hundreds of hidden states

nbserverproxy

Jupyter server extension to proxy web services

sinfo

sinfo outputs version information for modules loaded in the current session, Python, and the OS.

daft

PGM rendering at its finest

logomaker

Package for making Sequence Logos

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn.

vecstack

Python package for stacking (machine learning technique)

mplstereonet

Stereonets for matplotlib

datascience

A Jupyter notebook Python library for introductory data science

Version usage of gseapy

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.10.5

36.53%

0.10.2

12.76%

0.10.4

8.60%

0.10.1

6.59%

0.9.19

6.24%

0.10.3

2.63%

0.9.18

2.62%

0.9.13

2.39%

0.9.9

2.22%

0.9.8

2.21%

0.9.5

2.14%

0.9.7

2.08%

0.9.17

1.76%

0.10.0

1.69%

0.9.15

1.66%

0.7.10

1.57%

0.9.12

1.48%

0.9.3

1.45%

0.8.11

1.36%

0.9.16

1.32%