Bayesian Alignment Model for Analysis of LC-MS-based Omic Data

Bayesian Alignment Model for Analysis of LC-MS-based Omic Data

Liquid chromatography coupled with mass spectrometry (LC-MS) has been widely used in various omic studies for biomarker discovery. Appropriate LC-MS data preprocessing steps are needed to detect true differences between biological groups. Retention time alignment is one of the most important yet cha...

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Bibliographic Details
Main Author: Tsai, Tsung-Heng
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2015
Subjects:
alignment
Bayesian inference
biomarker discovery
liquid chromatography-mass spectrometry (LC-MS)
Markov chain Monte Carlo (MCMC)
Online Access:http://hdl.handle.net/10919/64151

Internet

http://hdl.handle.net/10919/64151

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