https://github.com/jni/betamax

Estimating optimal sampling strategies for high-throughput screens
https://github.com/jni/betamax

Last synced: 12 days ago
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Estimating optimal sampling strategies for high-throughput screens

• Host: GitHub
• URL: https://github.com/jni/betamax
• Owner: jni
• License: mit
• Created: 2012-02-06T09:53:10.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2012-02-06T10:00:29.000Z (almost 13 years ago)
• Last Synced: 2024-10-17T09:09:33.949Z (about 1 month ago)
• Language: Python
• Homepage:
• Size: 89.8 KB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: license.txt

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README

        
# Betamax: towards optimal sampling strategies for high-throughput screens

Betamax is a procedure to dynamically estimate the best sampling point given

the data encountered so far.

The code currently supports only Z-tests with unit variance, but this can be

expanded to other tests/distributions.