Mika Ala-Korpela

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 4

Top Topics

Gaussian Processes

Cross Validated

Regression Model

Gene Expression

Top Venues

J. Comput. Biol.

J. Mach. Learn. Res.

Publications

Joel Mefford, Danny S. Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela, Markku Laakso, Päivi Pajukanta, Jian Yang, John Witte, Noah Zaitlen
Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. J. Comput. Biol. 27 (4) (2020)
Joel Mefford, Danny S. Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela, Markku Laakso, Paivi Pajukanta, Jian Yang, John Witte, Noah Zaitlen
Efficient Estimation and Applications of Cross-Validated Genetic Predictions. RECOMB (2019)
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 (2016)
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) (2016)
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) (2014)
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 (2013)
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soininen, Petri Ingman, Sanna M. Mäkelä, Markku J. Savolainen, Minna L. Hannuksela, Kimmo Kaski, Mika Ala-Korpela
H NMR metabonomic data. BMC Bioinform. 8 (S-2) (2007)
Taito Väänänen, Harri Koskela, Yrjö Hiltunen, Mika Ala-Korpela
Application of Quantitative Artificial Neural Network Analysis to 2D NMR Spectra of Hydrocarbon Mixtures. J. Chem. Inf. Comput. Sci. 42 (6) (2002)