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Probabilistic Mixture Regression Models for Alignment of LC-MS Data
A novel framework of a probabilistic mixture regression model (PMRM) is presented for alignment of liquid chromatography-mass spectrometry (LC-MS) data with respect to both retention time (RT) and mass-to-charge ratio (m/z). The expectation maximization algorithm is used to estimate the joint parame...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2011
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3006656/ https://ncbi.nlm.nih.gov/pubmed/20837998 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2010.88 |
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