A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era.

MLA

Strandén, Ismo, et al. “A Computationally Efficient Algorithm to Leverage Average Information REML for (Co)Variance Component Estimation in the Genomic Era.” Genetics, Selection, Evolution : GSE, vol. 56, no. 1, Nov. 2024, p. 73. EBSCOhost, https://doi.org/10.1186/s12711-024-00939-x.

APA

Strandén, I., Mäntysaari, E. A., Lidauer, M. H., Thompson, R., & Gao, H. (2024). A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era. Genetics, Selection, Evolution : GSE, 56(1), 73. https://doi.org/10.1186/s12711-024-00939-x

Chicago

Strandén, Ismo, Esa A Mäntysaari, Martin H Lidauer, Robin Thompson, and Hongding Gao. 2024. “A Computationally Efficient Algorithm to Leverage Average Information REML for (Co)Variance Component Estimation in the Genomic Era.” Genetics, Selection, Evolution : GSE 56 (1): 73. doi:10.1186/s12711-024-00939-x.