Open AccessPerturbation-Theory Machine Learning (PTML) Models for Predicting Metabolic Reaction Networks
Author(s) -
Karel DiéguezSantana,
Gerardo M. CasañolaMartín,
James R. 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 , perturbation (astronomy) , machine learning , artificial intelligence , physics , quantum mechanics
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