Application of supernodal sparse factorization and inversion to the estimation of (co)variance components by residual maximum likelihood.
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Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements.Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient.Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses--a simulation study.DAIRRy-BLUP: a high-performance computing approach to genomic predictionA fast indirect method to compute functions of genomic relationships concerning genotyped and ungenotyped individuals, for diversity management.
P2860
Application of supernodal sparse factorization and inversion to the estimation of (co)variance components by residual maximum likelihood.
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2013 nî lūn-bûn
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2013年学术文章
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Application of supernodal spar ...... y residual maximum likelihood.
@en
Application of supernodal sparse factorization and inversion to the estimation of
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type
label
Application of supernodal spar ...... y residual maximum likelihood.
@en
Application of supernodal sparse factorization and inversion to the estimation of
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prefLabel
Application of supernodal spar ...... y residual maximum likelihood.
@en
Application of supernodal sparse factorization and inversion to the estimation of
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P2093
P2860
P356
P1476
Application of supernodal spar ...... y residual maximum likelihood.
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P2093
P2860
P304
P356
10.1111/JBG.12058
P577
2013-10-25T00:00:00Z