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Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations

Multi-Attribute Subset Selection is an algorithm for identifying the most descriptive growth conditions in microbial phenotyping experiments. This streamlines high-throughput phenotyping efforts and helps to reveal biological insights.

Konrad Herbst
Taiyao Wang
Daniel Segrè
ResearchOpen Access03 Apr 2024
Communications Biology

Volume: 7, P: 1-11

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Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations

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