Conformal novelty detection for multiple metabolic networks

Conformal novelty detection for multiple metabolic networks

Abstract Background Graphical representations are useful to model complex data in general and biological interactions in particular. Our main motivation is the comparison of metabolic networks in the wider context of developing noninvasive accurate diagnostic tools. However, comparison and classific...

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Bibliographic Details
Main Authors: Ariane Marandon, Tabea Rebafka, Nataliya Sokolovska, Hédi Soula
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Bioinformatics
Subjects:
Novelty detection
Conformal prediction
Wrapper method
Metabolic networks
Graph neural networks
Online Access:https://doi.org/10.1186/s12859-024-05971-8
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