Martens H - Search Results

1

A computational pipeline for quantification of mouse myocardial stiffness parameters.

Nordbø O, Lamata P, Land S, Niederer S, Aronsen JM, Louch WE, Sjaastad I, Martens H, Gjuvsland AB, Tøndel K, Torp H, Lohezic M, Schneider JE, Remme EW, Smith N, Omholt SW, Vik JO. Nordbø O, et al. Among authors: martens h. Comput Biol Med. 2014 Oct;53:65-75. doi: 10.1016/j.compbiomed.2014.07.013. Epub 2014 Aug 2. Comput Biol Med. 2014. PMID: 25129018 Free PMC article.

2

Hierarchical cluster-based partial least squares regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models.

Tøndel K, Indahl UG, Gjuvsland AB, Vik JO, Hunter P, Omholt SW, Martens H. Tøndel K, et al. Among authors: martens h. BMC Syst Biol. 2011 Jun 1;5:90. doi: 10.1186/1752-0509-5-90. BMC Syst Biol. 2011. PMID: 21627852 Free PMC article.

3

150 years of the mass action law.

Voit EO, Martens HA, Omholt SW. Voit EO, et al. PLoS Comput Biol. 2015 Jan 8;11(1):e1004012. doi: 10.1371/journal.pcbi.1004012. eCollection 2015 Jan. PLoS Comput Biol. 2015. PMID: 25569257 Free PMC article.

4

Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models.

Tøndel K, Indahl UG, Gjuvsland AB, Omholt SW, Martens H. Tøndel K, et al. Among authors: martens h. BMC Syst Biol. 2012 Jul 20;6:88. doi: 10.1186/1752-0509-6-88. BMC Syst Biol. 2012. PMID: 22818032 Free PMC article.

5

The genotype-phenotype relationship in multicellular pattern-generating models--the neglected role of pattern descriptors.

Martens H, Veflingstad SR, Plahte E, Martens M, Bertrand D, Omholt SW. Martens H, et al. Among authors: martens m. BMC Syst Biol. 2009 Sep 4;3:87. doi: 10.1186/1752-0509-3-87. BMC Syst Biol. 2009. PMID: 19732421 Free PMC article.

6

High-throughput biochemical fingerprinting of Saccharomyces cerevisiae by Fourier transform infrared spectroscopy.

Kohler A, Böcker U, Shapaval V, Forsmark A, Andersson M, Warringer J, Martens H, Omholt SW, Blomberg A. Kohler A, et al. Among authors: martens h. PLoS One. 2015 Feb 23;10(2):e0118052. doi: 10.1371/journal.pone.0118052. eCollection 2015. PLoS One. 2015. PMID: 25706524 Free PMC article.

7

Reducing inter-replicate variation in fourier transform infrared spectroscopy by extended multiplicative signal correction.

Kohler A, Böcker U, Warringer J, Blomberg A, Omholt SW, Stark E, Martens H. Kohler A, et al. Among authors: martens h. Appl Spectrosc. 2009 Mar;63(3):296-305. doi: 10.1366/000370209787598906. Appl Spectrosc. 2009. PMID: 19281645

8

Emulating facial biomechanics using multivariate partial least squares surrogate models.

Wu T, Martens H, Hunter P, Mithraratne K. Wu T, et al. Among authors: martens h. Int J Numer Method Biomed Eng. 2014 Nov;30(11):1103-20. doi: 10.1002/cnm.2646. Epub 2014 May 6. Int J Numer Method Biomed Eng. 2014. PMID: 24802655

9

Mining for genotype-phenotype relations in Saccharomyces using partial least squares.

Mehmood T, Martens H, Saebø S, Warringer J, Snipen L. Mehmood T, et al. Among authors: martens h. BMC Bioinformatics. 2011 Aug 3;12:318. doi: 10.1186/1471-2105-12-318. BMC Bioinformatics. 2011. PMID: 21812956 Free PMC article.

10

Pixel-based analysis of multiple images for the identification of changes: a novel approach applied to unravel proteome patterns [corrected] of 2-D electrophoresis gel images.

Faergestad EM, Rye M, Walczak B, Gidskehaug L, Wold JP, Grove H, Jia X, Hollung K, Indahl UG, Westad F, van den Berg F, Martens H. Faergestad EM, et al. Among authors: martens h. Proteomics. 2007 Oct;7(19):3450-61. doi: 10.1002/pmic.200601026. Proteomics. 2007. PMID: 17726676

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