Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model
- DOI
- 10.1186/s12711-020-00543-9
- Published
- 2020-05-13
- Container
- Genetics Selection Evolution
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12711-020-00543-9,
title = {Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model},
author = {Jeremie Vandenplas and Herwin Eding and Maarten Bosmans and Mario P. L. Calus},
year = {2020},
journal = {Genetics Selection Evolution},
doi = {10.1186/s12711-020-00543-9},
url = {https://doi.org/10.1186/s12711-020-00543-9}
}RIS
TY - JOUR TI - Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model AU - Jeremie Vandenplas AU - Herwin Eding AU - Maarten Bosmans AU - Mario P. L. Calus PY - 2020 JO - Genetics Selection Evolution DO - 10.1186/s12711-020-00543-9 UR - https://doi.org/10.1186/s12711-020-00543-9 ER -
APA
Vandenplas, J., Eding, H., Bosmans, M., & Calus, M. P. L. (2020). Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model. Genetics Selection Evolution. https://doi.org/10.1186/s12711-020-00543-9
Source records
- crossref · retrieved 2026-09-25T17:51:40.967Z