Mika Ala-Korpela

According to our database, Mika Ala-Korpela authored at least 9 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, Rick Quax

CoRR, 2024

2020

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, John S. Witte, Noah Zaitlen

J. Comput. Biol., 2020

2019

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, John S. Witte, Noah Zaitlen

Proceedings of the Research in Computational Molecular Biology, 2019

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

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

2014

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, Mika Ala-Korpela, Olli T. Raitakari, Veikko Salomaa, Marjo-Riitta Järvelin, Samuli Ripatti, Samuel Kaski

Bioinform., 2014

2013

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

2007

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

2002

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