Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations
Abstract The interpretation of complex biological datasets requires the identification of representative variables that describe the data without critical information loss. This is particularly important in the analysis of large phenotypic datasets (phenomics). Here we introduce Multi-Attribute Subs...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-04-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-024-06093-w |