Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials
| dc.creator | Hori, T. | |
| dc.creator | Montcho, D. | |
| dc.creator | Agbangla, C. | |
| dc.creator | Ebana, K. | |
| dc.creator | Futakuchi, K. | |
| dc.creator | Iwata, H. | |
| dc.date | 2016-11 | |
| dc.date | 2021-12-03T07:56:44Z | |
| dc.date | 2021-12-03T07:56:44Z | |
| dc.date.accessioned | 2026-06-27T13:18:14Z | |
| dc.identifier | https://hdl.handle.net/10568/116495 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/55912 | |
| dc.language | en | |
| dc.publisher | Springer | |
| dc.rights | Limited Access | |
| dc.source | Hori, T., Montcho, D., Agbangla, C., Ebana, K., Futakuchi, K. and Iwata, H. 2017. Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials. Theoretical and Applied Genetics. Volume 129:2101–2115. | |
| dc.subject | genomics | |
| dc.subject | data | |
| dc.subject | environment | |
| dc.subject | kriging | |
| dc.subject | phenotypic variation | |
| dc.title | Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials | |
| dc.type | Journal Article |
