"False"
Umeå University
printicon
Main menu hidden.
Staff photo Maria Hiltonen

Maria Hiltonen

Contact

E-mail
Maria.Hiltonen@umu.se
Phone
+46 90 786 99 61, +46 73 809 99 61

Works at

Affiliation
Analyst at Centre for Demographic and Aging Research at Umeå University (CEDAR) Section: DDB Umeå
Location
Norra Beteendevetarhuset, 4 tr, Umeå universitet Umeå universitet, 901 87 Umeå
The Constrained Principal Property (CPP) Space in QSAR---Directional and Non-Directional Modelling Approaches
Molecular Modeling and Prediction of Bioactivity, Kluwer Academic/Plenum Publishers 2000 : 65-70
Eriksson, Lennart; Andersson, Patrik; Johansson, Erik; et al.
The Constrained Principal Property (CPP) Space in QSAR: Directional and Non-Directional Modelling Approaches
Molecular Modeling and Prediction of Bioactivity, Dordrecht: Kluwer Academic/Plenum Publishers 2000 : 65-70
Sandberg Hiltunen, Maria; Eriksson, Lennart
Structure-Property Model for Membrane Partitioning of Oligopeptides
Journal of Medicinal Chemistry, American Chemical Society (ACS) 2000, Vol. 43, (1) : 103-113
Sandberg Hiltunen, Maria; Hjorth Alifrangis, Lene; Christensen, Inge
New chemical descriptors relevant for the design of biologically active peptides. A multivariate characterization of 87 amino acids.
Journal of Medicinal Chemistry, Washington DC: American Chemical Society (ACS) 1998, Vol. 41, (14) : 2481-2491
Sandberg, Maria
Deciphering sequence data: A multivariate approach
Umeå: Solfjädern Offset AB 1997
Sandberg Hiltunen, Maria
The evolutionary transition from uracil to thymine balances the genetic code
Journal of Chemometrics, John Wiley & Sons 1996, Vol. 10 : 163-170
Sandberg Hiltunen, Maria
A multivariate characterization of tRNA nucleosides
Journal of Chemometrics, Vol. 10, (5-6) : 493-508
Sandberg Hiltunen, Maria
DNA and peptide sequences and chemical processes multivariately modelled by principal component analysis and partial least-squares projections to latent structures
Analytica Chimica Acta, Vol. 277 : 239-253
Sandberg Hiltunen, Maria
A new approach to quantify and analyse tRNA sequence data
Sandberg Hiltunen, Maria
View publications in DiVA