A Bayesian hierarchical model for inference across related reverse phase protein arrays experiments
We consider inference for functional proteomics experiments that record protein activation over time following perturbation under different dose levels of several drugs. The main inference goal is the dependence structure of the selected proteins. A critical challenge is the lack of sufficient data...
| Publié dans: | Journal of applied statistics. - 1991. - 41(2014), 11 vom: 21., Seite 2483-2492 |
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| Auteur principal: | |
| Autres auteurs: | , , , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2014
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| Accès à la collection: | Journal of applied statistics |
| Sujets: | Journal Article Bayesian graphical hierarchical model protein networks timecourse |