Age Smilde

F. Becker, A. K. Smilde and E. A. Ataman

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

WIREs Data Mining and Knowledge Discovery

S. Yan, L. Li, D. Horner, P. Ebrahimi, B. Chawes, L. O. Dragsted, M. A. Rasmussen, A. K. Smilde and E. Acar

Characterizing human postprandial metabolic response using multiway data analysis

bioRxiv

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. Acar

Fusion of static and dynamic metabolomics challenge test data: Capturing metabolic differences between fasting and postprandial states

Nordic AI meet 2023

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. Acar

Fusion of static and dynamic metabolomics challenge test data: Capturing metabolic differences between fasting and postprandial states

NuGOweek 2023

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. Acar

From static to dynamic - how to analyze postprandial metabolomics data?

Nordic Metabolomics Conference

A. K. Smilde, T. Naes and K. H. Liland

Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences

L. Li, H. Hoefsloot, A. A. de Graaf, E. A. Ataman and A. K. Smilde

Exploring Dynamic Metabolomics Data With Multiway Data Analysis: a Simulation Study

BMC Bioinformatics

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, D. Horner, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

bioRxiv

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Revealing dynamic changes in metabolism through the analysis of postprandial metabolomics data: A simulation study

Metabolomics 2022

S. Yan, L. Li, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Characterizing postprandial metabolic response using multi-way data analysis

Norwegian Bioinformatics Days 2022

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

NuGOweek 2022 in Spain

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

Nordic Metabolomics 2022, Copenhagen, Denmark

L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Analyzing postprandial metabolomics data using multiway models: A simulation study

Norwegian Bioinformatics Days, Sundvolden, Norway

S. Yan, L. Li, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman

Characterizing postprandial metabolomics response using multi-way data analysis

Annual NORBIS Conference

F. Becker, M. Nygård, J. Nygård, A. K. Smilde and E. A. Ataman

Phenotyping of cervical cancer risk groups via generalized low-rank models using medical questionnaires

Norwegian AI Symposium: Nordic Artificial Intelligence Research and Development

F. Becker

Generalized Low-Rank Models for Phenotyping Cervical Cancer Risk Groups using Medical Questionnaires

Stavanger, Norway

L. Li, H. Hoefsloot, A. A. de Graaf, E. A. Ataman and A. K. Smilde

Exploring dynamic metabolomics data with multiway data analysis: A simulation study

SIAM Conference on Applications of Dynamical Systems

A. K. Smilde, I. Måge, T. Naes, T. Hankemeier, M. A. Lips, H. A. L. Kiers, E. A. Ataman and R. Bro

Common and distinct components in data fusion

Journal of Chemometrics