Viktor Skantze

Showing 7 publications

2024

Adjusting for covariates and assessing modeling fitness in machine learning using MUVR2

Yingxiao Yan, Tessa Schillemans, Viktor Skantze et al
Bioinformatics Advances. Vol. 4 (1)
Journal article
2023

Identification of metabotypes in complex biological data using tensor decomposition

Viktor Skantze, Mikael Wallman, Ann-Sofie Sandberg et al
Chemometrics and Intelligent Laboratory Systems. Vol. 233
Journal article
2023

Mathematical modeling in precision nutrition

Viktor Skantze
Doctoral thesis
2023

Data-driven analysis and prediction of dynamic postprandial metabolic response to multiple dietary challenges using dynamic mode decomposition

Viktor Skantze, Mats Jirstrand, Carl Brunius et al
Frontiers in Nutrition. Vol. 10
Journal article
2022

Identifying metabotypes from tensor data

Viktor Skantze, Mikael Wallman, Ann-Sofie Sandberg et al
Conference poster
2021

Identifying metabotypes from complex biological data using PARAFAC

Viktor Skantze, Mikael Wallman, Ann-Sofie Sandberg et al
Current Developments in Nutrition, Volume 5. Vol. 5 (2), p. 882-
Other conference contribution

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