ipaPy2: Integrated Probabilistic Annotation (IPA) 2.0—an improved Bayesian-based method for the annotation of LC–MS/MS untargeted metabolomics data

SUMMARY: The Integrated Probabilistic Annotation (IPA) is an automated annotation method for LC–MS-based untargeted metabolomics experiments that provides statistically rigorous estimates of the probabilities associated with each annotation. Here, we introduce ipaPy2, a substantially improved and co...

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Detalles Bibliográficos
Autores principales: Del Carratore, Francesco, Eagles, William, Borka, Juraj, Breitling, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382385/
https://www.ncbi.nlm.nih.gov/pubmed/37490466
http://dx.doi.org/10.1093/bioinformatics/btad455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382385/
https://www.ncbi.nlm.nih.gov/pubmed/37490466
http://dx.doi.org/10.1093/bioinformatics/btad455

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