Bayesian modeling of factorial time-course data with applications to a bone aging gene expression study
Many scientific studies, especially in the biomedical sciences, generate data measured simultaneously over a multitude of units, over a period of time, and under different conditions or combinations of factors. Often, an important question of interest asked relates to which units behave similarly un...
| Publié dans: | Journal of applied statistics. - 1991. - 48(2021), 10 vom: 01., Seite 1730-1754 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2021
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| Accès à la collection: | Journal of applied statistics |
| Sujets: | Journal Article Factorial Designs Markov chain Monte Carlo Microarrays Mixture models |
| Accès en ligne |
Volltext |