Application of Quantitative Artificial Neural Network Analysis to 2D NMR Spectra of Hydrocarbon Mixtures. - Taito Väänänen; Harri Koskela; Yrjö Hiltunen; Mika Ala-Korpela (J. Chem. Inf. Comput. Sci., 2002)

A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data. - Aki Vehtari; Ville-Petteri Mäkinen; Pasi Soininen; Petri Ingman; Sanna M. Mäkelä; Markku J. Savolainen; Minna L. Hannuksela; Kimmo Kaski; Mika Ala-Korpela (BMC Bioinform., 2007)

Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects. - Jussi Gillberg; Pekka Marttinen; Matti Pirinen; Antti J. Kangas; Pasi Soininen; Marjo-Riitta Järvelin; Mika Ala-Korpela; Samuel Kaski (CoRR, 2013)

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)

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)

Multiple Output Regression with Latent Noise. - Jussi Gillberg; Pekka Marttinen; Matti Pirinen; Antti J. Kangas; Pasi Soininen; Mehreen Ali; Aki S. Havulinna; Marjo-Riitta Järvelin; Mika Ala-Korpela; Samuel Kaski (J. Mach. Learn. Res., 2016)

Efficient Estimation and Applications of Cross-Validated Genetic Predictions. - Joel Mefford; Danny S. Park; Zhili Zheng; Arthur Ko; Mika Ala-Korpela; Markku Laakso; Paivi Pajukanta; Jian Yang 005; John S. Witte; Noah Zaitlen (RECOMB, 2019)

Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. - Joel Mefford; Danny S. Park; Zhili Zheng; Arthur Ko; Mika Ala-Korpela; Markku Laakso; Päivi Pajukanta; Jian Yang 005; John S. Witte; Noah Zaitlen (J. Comput. Biol., 2020)

Multilayer Network of Cardiovascular Diseases and Depression via Multipartite Projection. - Jie Li; Cillian Hourican; Pashupati P. Mishra; Binisha H. Mishra; Mika Kähönen; Olli T. Raitakari; Reijo Laaksonen; Mika Ala-Korpela; Liisa Keltikangas-Järvinen; Markus Juonala; Terho Lehtimäki; Jos A. Bosch; et al. (CoRR, 2024)