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...
| Veröffentlicht in: | Journal of applied statistics. - 1991. - 48(2021), 10 vom: 01., Seite 1730-1754 |
|---|---|
| 1. Verfasser: | |
| Weitere Verfasser: | , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2021
|
| Zugriff auf das übergeordnete Werk: | Journal of applied statistics |
| Schlagworte: | Journal Article Factorial Designs Markov chain Monte Carlo Microarrays Mixture models |
| Online verfügbar |
Volltext |