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2010 – 2019
- 2016
[j5]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:
metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis. Bioinform. 32(13): 1981-1989 (2016)- [j4]Jussi Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Mehreen Ali, Aki S. Havulinna, Marjo-Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski:
Multiple Output Regression with Latent Noise. J. Mach. Learn. Res. 17: 122:1-122:35 (2016) - 2014
- [j3]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, Mika Ala-Korpela, Olli T. Raitakari, Veikko Salomaa, Marjo-Riitta Järvelin, Samuli Ripatti, Samuel Kaski:
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression. Bioinform. 30(14): 2026-2034 (2014) - [j2]Reino Laatikainen, Tommi Hassinen, Juuso Lehtivarjo, Mika Tiainen, Juha Jungman, Tuulia Tynkkynen, Samuli-Petrus Korhonen, Matthias Niemitz, Pekka Poutiainen, Olli Jääskeläinen, Topi Väisänen, Janne Weisell, Pasi Soininen, Pekka Laatikainen, Henri Martonen, Kari Tuppurainen:
Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections. J. Chem. Inf. Model. 54(2): 419-430 (2014) - 2013
- [i1]Jussi Gillberg, Pekka Marttinen, Matti Pirinen, Antti J. Kangas, Pasi Soininen, Marjo-Riitta Järvelin, Mika Ala-Korpela, Samuel Kaski:
Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects. CoRR abs/1310.4362 (2013)
2000 – 2009
- 2007
- [j1]Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soininen, Petri Ingman, Sanna M. Mäkelä, Markku J. Savolainen, Minna L. Hannuksela, Kimmo Kaski, Mika Ala-Korpela:
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data. BMC Bioinform. 8(S-2) (2007)
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