Statistical analysis and BEST method of Kruschke for python applied on citation data in Systems Biology

The statistical analysis was performed in a jupyter notebook. This notebook contains the commands for all performed analyses (Statistical_analysis_of_FAIR_citations.ipynb)

The Bayesian Estimation Superseeds the t Test (BEST) method of Kruschke 2013 was used for the Bayesian significance testing. The method was implemented in a python class together with visualization and distributional analysis methods (BEST_method_python_Kruschke2012.py).

The results of the statistical analysis, including histograms of the data and full posterior and Posterior Predicitive Distributional (PPD) information is added in a results folder.

Methodical details can be found in the methods section of the publication.

SEEK ID: https://fairdomhub.org/assays/2009

Modelling Analysis

Sebastian Höpfl

Projects: Working Group Nicole Radde

Investigation: hidden item

Study: Bayesian hypothesis testing reveals that reproducible models in systems biology get more citations

Assay position:

Biological problem addressed: Model Analysis Type

Organisms: No organisms

help Creators and Submitter
Activity

Views: 81

Created: 29th Sep 2022 at 15:12

Last updated: 3rd Oct 2022 at 18:29

help Tags

This item has not yet been tagged.

Powered by
(v.1.12.3)
Copyright © 2008 - 2022 The University of Manchester and HITS gGmbH

By continuing to use this site you agree to the use of cookies