BAPS 2: enhanced possibilities for the analysis of genetic population structure. - Jukka Corander; Patrik Waldmann; Pekka Marttinen; Mikko J. Sillanpää (Bioinform., 2004)

AUTALASSO: an automatic adaptive LASSO for genome-wide prediction. - Patrik Waldmann; Maja Ferencakovic; Gábor Mészáros; Negar Khayatzadeh; Ino Curik; Johann Sölkner (BMC Bioinform., 2019)

A proximal LAVA method for genome-wide association and prediction of traits with mixed inheritance patterns. - Patrik Waldmann (BMC Bioinform., 2021)

Evaluation of Sparse Proximal Multi-Task Learning for Genome-Wide Prediction. - Yuhua Fan; Ilkka Launonen; Mikko J. Sillanpää; Patrik Waldmann (IEEE Access, 2024)

Weighted L1 and L0 Regularization Using Proximal Operator Splitting Methods. - Zewude A. Berkessa; Patrik Waldmann (Trans. Mach. Learn. Res., 2024)

Tabular deep learning: a comparative study applied to multi-task genome-wide prediction. - Yuhua Fan; Patrik Waldmann (BMC Bioinform., 2024)

A Review of Causal Methods for High-Dimensional Data. - Zewude A. Berkessa; Esa Läärä; Patrik Waldmann (IEEE Access, 2025)

Multi-task genomic prediction using gated residual variable selection neural networks. - Yuhua Fan; Patrik Waldmann (BMC Bioinform., 2025)