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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Bibliographic Details
Main Authors: Befekadu, Getachew K., Tadesse, Mahlet G., Tsai, Tsung-Heng, Ressom, Habtom W.
Format: Artigo
Language:Inglês
Published: 2011
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Article
Online Access: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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