Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics Using Probabilistic Modeling

Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics Using Probabilistic Modeling

<b>Motivation</b>: Untargeted metabolomics comprehensively characterizes small molecules and elucidates activities of biochemical pathways within a biological sample. Despite computational advances, interpreting collected measurements and determining their biological role remains a chall...

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Bibliographic Details
Main Authors: Ramtin Hosseini, Neda Hassanpour, Li-Ping Liu, Soha Hassoun
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Metabolites
Subjects:
machine learning
inference
untargeted metabolomics
biological network
metabolic model
Online Access:https://www.mdpi.com/2218-1989/10/5/183

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