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pypi.org : ggca

Computes efficiently the correlation (Pearson, Spearman or Kendall) and the p-value (two-sided) between all the pairs from two datasets

Registry - Source - Documentation - JSON
purl: pkg:pypi/ggca
Keywords: mRNA, expression, modulation, correlation, p-value, bioinformatic, correlation-analysis, gene-expression, gene-expression-modulation, python, rust
License: GPL-3.0
Latest release: over 2 years ago
First release: over 3 years ago
Dependent repositories: 1
Downloads: 74 last month
Stars: 4 on GitHub
Forks: 2 on GitHub
Total Commits: 104
Committers: 1
Average commits per author: 104.0
Development Distribution Score (DDS): 0.0
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 24 days ago

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