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Author

Patrik Waldmann

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Open access Oct 2026

Exploiting Low-Rank Structure in Genomic Relationship Matrices for Computationally Efficient Optimum Contribution Selection

Motivation Optimum contribution selection (OCS) maximizes genetic gain under a constraint on relatedness. Genomic relationship matrices are dense, so the quadratic term costs O(n3) operations, and existing OCS software assumes pedigree sparsity. Results We replace the relationship matrix by its leading eigen-pairs, com...

Jon Ahlinder, Patrik Waldmann · 0 citations
Open access Jul 2026

Generalized adaptive bridge regression: a unified framework for high-dimensional architecture discovery

The generalized adaptive bridge regression (GABR) framework successfully identifies optimal, off-grid grouping architectures and is evaluated on simulated architectures, demonstrating its dynamic adaptivity to structural sparsity, collinearity, and varying signal-to-noise ratios.

Patrik Waldmann · 0 citations

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