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Multiple Output Regression with Latent Noise.

J. Gillberg, P. Marttinen, M. Pirinen, A. Kangas, P. Soininen, M. Ali, A. Havulinna, M. Järvelin, M. Ala-Korpela, and S. Kaski. J. Mach. Learn. Res., (2016)

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metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis.A. Cichonska, J. Rousu, P. Marttinen, A. Kangas, P. Soininen, T. Lehtimäki, O. Raitakari, M. Järvelin, V. Salomaa, M. Ala-Korpela and 2 other author(s). Bioinformatics, 32 (13): 1981-1989 (2016)Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections.R. Laatikainen, T. Hassinen, J. Lehtivarjo, M. Tiainen, J. Jungman, T. Tynkkynen, S. Korhonen, M. Niemitz, P. Poutiainen, O. Jääskeläinen and 6 other author(s). Journal of Chemical Information and Modeling, 54 (2): 419-430 (2014)A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data.A. Vehtari, V. Mäkinen, P. Soininen, P. Ingman, S. Mäkelä, M. Savolainen, M. Hannuksela, K. Kaski, and M. Ala-Korpela. BMC Bioinformatics, (2007)Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.J. Gillberg, P. Marttinen, M. Pirinen, A. Kangas, P. Soininen, M. Järvelin, M. Ala-Korpela, and S. Kaski. CoRR, (2013)Multiple Output Regression with Latent Noise.J. Gillberg, P. Marttinen, M. Pirinen, A. Kangas, P. Soininen, M. Ali, A. Havulinna, M. Järvelin, M. Ala-Korpela, and S. Kaski. J. Mach. Learn. Res., (2016)Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.P. Marttinen, M. Pirinen, A. Sarin, J. Gillberg, J. Kettunen, I. Surakka, A. Kangas, P. Soininen, P. O'Reilly, M. Kaakinen and 8 other author(s). Bioinformatics, 30 (14): 2026-2034 (2014)

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Multiple Output Regression with Latent Noise.

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Disambiguation of "Soininen, Pasi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multiple Output Regression with Latent Noise.

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Multiple Output Regression with Latent Noise.