A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications

Aki Vehtari; Ville-Petteri Mäkinen; Pasi Soininen; Petri Ingman; Sanna Mäkelä; Markku Savolainen; Minna Hannuksela; Kimmo Kaski; Mika Ala-Korpela

A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications

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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Original language	English
Title of host publication	The Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 17-18, 2006
Publication status	Published - 2006
MoE publication type	A4 Conference publication

Cite this

Vehtari, A., Mäkinen, V.-P., Soininen, P., Ingman, P., Mäkelä, S., Savolainen, M., Hannuksela, M., Kaski, K., & Ala-Korpela, M. (2006). A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications. In The Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 17-18, 2006

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title = "A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications",

author = "Aki Vehtari and Ville-Petteri M{\"a}kinen and Pasi Soininen and Petri Ingman and Sanna M{\"a}kel{\"a} and Markku Savolainen and Minna Hannuksela and Kimmo Kaski and Mika Ala-Korpela",

year = "2006",

language = "English",

booktitle = "The Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 17-18, 2006",

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Vehtari, A, Mäkinen, V-P, Soininen, P, Ingman, P, Mäkelä, S, Savolainen, M, Hannuksela, M, Kaski, K & Ala-Korpela, M 2006, A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications. in The Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 17-18, 2006.

A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications. / Vehtari, Aki; Mäkinen, Ville-Petteri; Soininen, Pasi et al.
The Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 17-18, 2006. 2006.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications

AU - Vehtari, Aki

AU - Mäkinen, Ville-Petteri

AU - Soininen, Pasi

AU - Ingman, Petri

AU - Mäkelä, Sanna

AU - Savolainen, Markku

AU - Hannuksela, Minna

AU - Kaski, Kimmo

AU - Ala-Korpela, Mika

PY - 2006

Y1 - 2006

M3 - Conference article in proceedings

BT - The Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology, Tuusula, Finland, June 17-18, 2006

ER -