SAIL - a software system for sample and phenotype availability across biobanks and cohorts. - Mikhail Gostev; Julio Fernandez-Banet; Johan Rung; Joern Dietrich; Inga Prokopenko; Samuli Ripatti; Mark I. McCarthy; Alvis Brazma; Maria Krestyaninova (Bioinform., 2011)

Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression. - Pekka Marttinen; Matti Pirinen; Antti-Pekka Sarin; Jussi Gillberg; Johannes Kettunen; Ida Surakka; Antti J. Kangas; Pasi Soininen; Paul F. O'Reilly; Marika Kaakinen; Mika Kähönen; Terho Lehtimäki; et al. (Bioinform., 2014)

FINEMAP: efficient variable selection using summary data from genome-wide association studies. - Christian Benner; Chris C. A. Spencer; Aki S. Havulinna; Veikko Salomaa; Samuli Ripatti; Matti Pirinen (Bioinform., 2016)

metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis. - Anna Cichonska; Juho Rousu; Pekka Marttinen; Antti J. Kangas; Pasi Soininen; Terho Lehtimäki; Olli T. Raitakari; Marjo-Riitta Järvelin; Veikko Salomaa; Mika Ala-Korpela; Samuli Ripatti; Matti Pirinen (Bioinform., 2016)

biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements. - Matti Pirinen; Christian Benner; Pekka Marttinen; Marjo-Riitta Järvelin; Manuel A. Rivas; Samuli Ripatti (Bioinform., 2017)

Differences in the Commonly used Genotype Imputation Algorithms and Their Imputation Accuracy Estimates. - Kalle Parn; Matti Pirinen; Mart Kals; Reedik Mägi; Veikko Salomaa; Michael Boehnke; Ira Hall; Nathan Stitziel; Nelson Freimer; Mark J. Daly; Aarno Palotie; Samuli Ripatti; et al. (eScience, 2018)

A structural variation reference for medical and population genetics. - Ryan L. Collins; Harrison Brand; Konrad J. Karczewski; Xuefang Zhao; Jessica Alföldi; Laurent C. Francioli; Amit V. Khera; Chelsea Lowther; Laura D. Gauthier; Harold Wang; Nicholas A. Watts; Matthew Solomonson; et al. (Nat., 2020)

Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data. - Gabin Drouard; Juha Mykkänen; Jarkko Heiskanen; Joona Pohjonen; Saku Ruohonen; Katja Pahkala; Terho Lehtimäki; Xiaoling Wang; Miina Ollikainen; Samuli Ripatti; Matti Pirinen; Olli T. Raitakari; et al. (BMC Medical Informatics Decis. Mak., 2024)