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GitHub / BSEL-UC3M / pMoSS
pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BSEL-UC3M%2FpMoSS
Stars: 16
Forks: 5
Open Issues: 0
License: bsd-3-clause
Language: Python
Repo Size: 21.1 MB
Dependencies:
20
Created: over 4 years ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Topics: big-data, bioinformatics-analysis, biostatistics, decay, group-comparison, hypothesis-testing, monte-carlo, monte-carlo-sampling, nhst, p-value, python, statistics
Files
Dependencies
- glob2 *
- matplotlib *
- numpy *
- openpyxl *
- pandas *
- pytest-shutil *
- scipy >=1.1.0
- seaborn *
- statsmodels >=0.9.0
- xlrd >=1.0.0
- glob2 *
- matplotlib *
- numpy *
- openpyxl *
- pandas *
- pytest-shutil *
- scipy >=1.1.0
- seaborn *
- statsmodels >=0.9.0
- xlrd >=1.0.0