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...

Full description

Bibliographic Details
Main Authors: Konrad Herbst, Taiyao Wang, Elena J. Forchielli, Meghan Thommes, Ioannis Ch. Paschalidis, Daniel Segrè
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-024-06093-w