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Perturbation-Theory Machine Learning (PTML) Models for Predicting Metabolic Reaction Networks
Author(s) -
Karel Diéguez-Santana,
Gerardo M. Casañola-Martín,
James Green,
Bakhtiyor Rasulev
Publication year - 2021
Publication title -
proceedings of mol2net'21, conference on molecular, biomedical and computational sciences and engineering, 7th ed.
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.3390/mol2net-07-11195
Subject(s) - computer science , bayesian network , random forest , machine learning , algorithm , theoretical computer science , artificial intelligence

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