Bayesian ABC-MCMC Classification of Liquid Chromatography–Mass Spectrometry Data
Proteomics promises to revolutionize cancer treatment and prevention by facilitating the discovery of molecular biomarkers. Progress has been impeded, however, by the small-sample, high-dimensional nature of proteomic data. We propose the application of a Bayesian approach to address this issue in c...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2015-01-01
|
Series: | Cancer Informatics |
Online Access: | https://doi.org/10.4137/CIN.S30798 |