Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Giel H. H. van Bergen"'
Autor:
Giel H. H. van Bergen, Pascal Duenk, Cornelis A. Albers, Piter Bijma, Mario P. L. Calus, Yvonne C. J. Wientjes, Hilbert J. Kappen
Publikováno v:
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-14 (2020)
Abstract Background Estimating the genetic component of a complex phenotype is a complicated problem, mainly because there are many allele effects to estimate from a limited number of phenotypes. In spite of this difficulty, linear methods with varia
Externí odkaz:
https://doaj.org/article/f12d867915424289b4109d3bb4a5c067
Autor:
Pascal Duenk, Cornelis A. Albers, Giel H. H. van Bergen, Yvonne C. J. Wientjes, Piter Bijma, Mario P. L. Calus, Hilbert J. Kappen
Publikováno v:
Genetics, selection, evolution : GSE, 52(1)
Genetics, Selection, Evolution, 52, 1, pp. 1-14
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.26. ⟨10.1186/s12711-020-00544-8⟩
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-14 (2020)
Genetics, Selection, Evolution : GSE
Genetics, Selection, Evolution, 52, 1-14
Genetics, selection, evolution : GSE 52 (2020) 1
Genetics, Selection, Evolution, 52, 1, pp. 1-14
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.26. ⟨10.1186/s12711-020-00544-8⟩
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-14 (2020)
Genetics, Selection, Evolution : GSE
Genetics, Selection, Evolution, 52, 1-14
Genetics, selection, evolution : GSE 52 (2020) 1
Background Estimating the genetic component of a complex phenotype is a complicated problem, mainly because there are many allele effects to estimate from a limited number of phenotypes. In spite of this difficulty, linear methods with variable selec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d020a5097d30801914a67cc252d96449
https://research.wur.nl/en/publications/bayesian-neural-networks-with-variable-selection-for-prediction-o
https://research.wur.nl/en/publications/bayesian-neural-networks-with-variable-selection-for-prediction-o