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Gaussian process regression model for normalization of LC-MS data using scan-level information
BACKGROUND: Differences in sample collection, biomolecule extraction, and instrument variability introduce bias to data generated by liquid chromatography coupled with mass spectrometry (LC-MS). Normalization is used to address these issues. In this paper, we introduce a new normalization method usi...
Autores principales: | Nezami Ranjbar, Mohammad R, Zhao, Yi, Tadesse, Mahlet G, Wang, Yue, Ressom, Habtom W |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3908948/ https://www.ncbi.nlm.nih.gov/pubmed/24564985 http://dx.doi.org/10.1186/1477-5956-11-S1-S13 |
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