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

Aki Vehtari¹ , Ville-Petteri Mäkinen¹ , Pasi Soininen² , Petri Ingman³ , Sanna M Mäkelä⁴ , Markku J Savolainen⁴ , Minna L Hannuksela⁴ , Kimmo Kaski¹ and Mika Ala-Korpela¹

¹  Laboratory of Computational Engineering, Systems Biology and Bioinformation Technology, Helsinki University of Technology, P.O. Box 9203, FI-02015 HUT, Finland

²  Department of Chemistry, University of Kuopio, P.O. Box 1627, FI-70211 Kuopio, Finland

³  Department of Chemistry, Instrument Centre, Vatselankatu 2, FI-20014 University of Turku, Turku, Finland

⁴  Department of Internal Medicine, Clinical Research Center, University of Oulu, P.O. Box 5000, FI-90014 Oulu, Finland