Mikko J. Sillanpaa
Helsinki, Finland
Last Updated: 09/26/2026
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Found 82 publications
Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.
Journal: Briefings in bioinformatics
Published: December 02, 2025
Thrombectomy for medium-sized cerebral vessel occlusion: Size does matter.
Journal: European stroke journal
Published: September 08, 2025
Thrombectomy for medium-sized cerebral vessel occlusion: Size does matter.
Journal: European stroke journal
Published: June 19, 2025
Developing risk prediction models for type 2 diabetes and assessing the role of circulating metabolic biomarkers in five independent Finnish cohorts with over 22,000 individuals.
Journal: Journal of clinical epidemiology
Published: May 30, 2025
HMFGraph: Novel Bayesian approach for recovering biological networks.
Journal: PLoS computational biology
Published: May 16, 2025
tvsfglasso: Time-varying scale-free graphical lasso for network estimation from time-series data.
Journal: PLoS computational biology
Published: May 14, 2025
Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso.
Journal: Journal of applied statistics
Published: March 31, 2025
Network hub gene detection using the entire solution path information.
Journal: Genetics
Published: September 10, 2024
Principal component analysis revisited: fast multitrait genetic evaluations with smooth convergence.
Principal component analysis revisited: fast multitrait genetic evaluations with smooth convergence.
Journal: G3 (Bethesda, Md.)
Published: July 20, 2024
Sub-sampling graph neural networks for genomic prediction of quantitative phenotypes.
Journal: G3 (Bethesda, Md.)
Published: May 23, 2024
Last Updated: 09/26/2026