Machine learning based prediction for peptide drift times in ion mobility spectrometry

Motivation: Ion mobility spectrometry (IMS) has gained significant traction over the past few years for rapid, high-resolution separations of analytes based upon gas-phase ion structure, with significant potential impacts in the field of proteomic analysis. IMS coupled with mass spectrometry (MS) af...

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Detalles Bibliográficos
Main Authors: Shah, Anuj R., Agarwal, Khushbu, Baker, Erin S., Singhal, Mudita, Mayampurath, Anoop M., Ibrahim, Yehia M., Kangas, Lars J., Monroe, Matthew E., Zhao, Rui, Belov, Mikhail E., Anderson, Gordon A., Smith, Richard D.
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2010
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Original Papers
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2913656/
https://ncbi.nlm.nih.gov/pubmed/20495001
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq245
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