Výsledky vyhledávání - "Soininen Pasi"

Akademický článek

A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data

Autor: Kaski Kimmo, Hannuksela Minna L, Savolainen Markku J, Mäkelä Sanna M, Ingman Petri, Soininen Pasi, Mäkinen Ville-Petteri, Vehtari Aki, Ala-Korpela Mika

Publikováno v: BMC Bioinformatics, Vol 8, Iss Suppl 2, p S8 (2007)

Abstract Background A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk assessment and diagnostics. Here we focus on clinically relevant es

Externí odkaz: https://doaj.org/article/0bf76042db444c42b345dfb4070a2698

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Multiple Output Regression with Latent Noise

Autor: Gillberg, Jussi, Marttinen, Pekka, Pirinen, Matti, Kangas, Antti J., Soininen, Pasi, Ali, Mehreen, Havulinna, Aki S., Järvelin, Marjo-Riitta Marjo-Riitta, Ala-Korpela, Mika, Kaski, Samuel

In high-dimensional data, structured noise caused by observed and unobserved factors affecting multiple target variables simultaneously, imposes a serious challenge for modeling, by masking the often weak signal. Therefore, (1) explaining away the st

Externí odkaz: http://arxiv.org/abs/1410.7365

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Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects

Autor: Gillberg, Jussi, Marttinen, Pekka, Pirinen, Matti, Kangas, Antti J, Soininen, Pasi, Järvelin, Marjo-Riitta, Ala-Korpela, Mika, Kaski, Samuel

We consider the prediction of weak effects in a multiple-output regression setup, when covariates are expected to explain a small amount, less than $\approx 1%$, of the variance of the target variables. To facilitate the prediction of the weak effect

Externí odkaz: http://arxiv.org/abs/1310.4362

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