Published July 23, 2026
| Version v2
Software
Open
Cell Culture Media Optimization – Code
Authors/Creators
Description
Benchmarks Bayesian optimization, design-of-experiments, and baseline search strategies across six published cell-culture datasets under two protocols (Hide-the-Label and Open Race) and two difficulty regimes, using Gaussian process, random forest, neural network, and Bayesian neural network surrogates.
Files
active-learning-for-cell-media-v2.0.0.zip
Files
(436.9 kB)
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md5:675f27b7ca217655d6b7340395e98782
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Additional details
Identifiers
Related works
- Is supplement to
- Software: https://github.com/Amii-Applied-AI/amii-cell-ag-tools (URL)
Dates
- Accepted
-
2026-07-14Manuscript accepted for publication in Bioinformatics
References
- Parsaee A, Stahn M, Amirvaresi A, Ovissipour R, Staszak D. A data-driven evaluation of optimization techniques in cell culture media. Bioinformatics. 2026.