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Journal Articles
- 2020
[j6]Joel Mefford, Danny S. Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela
, Markku Laakso, Päivi Pajukanta, Jian Yang, John S. 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): 599-612 (2020)- 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) - 2007
- [j2]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) - 2002
- [j1]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): 1343-1346 (2002)
Conference and Workshop Papers
- 2019
- [c1]Joel Mefford, Danny S. Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela, Markku Laakso, Paivi Pajukanta, Jian Yang, John S. Witte, Noah Zaitlen:
Efficient Estimation and Applications of Cross-Validated Genetic Predictions. RECOMB 2019: 308-310
Informal and Other Publications
- 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)
Coauthor Index
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