Multiblock and hierarchical PCA and PLS methods have been proposed in the recent literature in order to improve the interpretability of multivariate models. They have been used in cases where the number of variables is large and additional information is available for blocking the variables into con
Genetic analysis with hierarchical models
โ Scribed by J.S. Witte
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 43 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
โฆ Synopsis
During the Genetic Analysis Workshop 9 presentations a brief discussion took place about the value of empirical-Bayes methods in genetic analysis. Due to the informal nature of this discussion, the improvements available for analyzing data with this approach S and with the broader class of hierarchical models S were not clearly presented. As a methodologic contribution, I further explore how one can use this potentially valuable technique in analysis of genetic data, including data similar to those given in GAW10.
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