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Incorporating Interactions and Gene Annotation Data in Genomic Prediction
| Content Provider | Semantic Scholar |
|---|---|
| Author | Martini, Johannes W. R. |
| Copyright Year | 2018 |
| Abstract | In this work, we consider theoretical and practical aspects of models incorporating interactions, so called "epistasis models''. Moreover, we follow approaches towards the incorporation of biological prior knowledge into prediction methods. The three main chapters are given by the corresponding published articles. In the final discussion, the coding dependence of ridge regression methods is reviewed and the usefulness of the prediction of total genetic values in different breeding schemes is discussed. In the last part of the discussion, we review the results of this work in a broadened context, which is followed by an outlook on future work. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ediss.uni-goettingen.de/bitstream/handle/11858/00-1735-0000-002E-E4BB-0/Dissertation_opt.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
