@inproceedings{ba09cc392dee418abea0ddf563240a9f,
title = "A new paradigm for clinical biomarker discovery and screening with mass spectrometry through biomedical image analysis principles",
abstract = "Biomarker discovery in amenably sampled body fluids has the potential to empower clinical screening programs for the early detection of disease. Liquid Chromatography interfaced to Mass Spectrometry (LC-MS) has emerged as a central technique for sensitive and automated analysis of proteins and metabolites from these clinical samples. However, the potential of LC-MS as a precise and reliable platform for discovery and screening is dependent on robust, sensitive and specific signal extraction and interpretation. The output of LC-MS is formed as a set of quantifiable images containing thousands of biochemical signals regulated in disease and treatment. We propose to tackle this problem for the first time with a biomedical image analysis paradigm. A novel workflow of image reconstruction, groupwise image registration and Bayesian functional mixed-effects modeling is presented. Poisson counting noise and lognormal biological variation are modeled in the raw image domain, resulting in markedly improved detection limit for differential analysis.",
keywords = "reconstruction, image registration, functional mixed model, mass spectrometry, proteomics",
author = "Hanqing Liao and Emmanouil Moschidis and Isabel Riba-Garcia and Yan Zhang and Richard Unwin and Jeffrey Morris and Jim Graham and Andrew Dowsey",
year = "2014",
month = jul,
day = "31",
doi = "10.1109/ISBI.2014.6868123",
language = "English",
isbn = "9781467319591",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1332--1335",
booktitle = "2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)",
address = "United States",
note = "IEEE 11th International Symposium on Biomedical Imaging (ISBI) ; Conference date: 01-04-2014 Through 02-05-2014",
}