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

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

WIREs Data Mining and Knowledge Discovery (2023).
Journal Article
2023
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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

In Norwegian AI Symposium: Nordic Artificial Intelligence Research and Development. Springer, 2022.
Proceedings, refereed
2022
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A. K. Smilde, T. Naes and K. H. Liland

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

Chichester, UK: John Wiley & Sons, 2022.
Book
2022
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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 23 (2022).
Journal Article
2022
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2023

Journal articles

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

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions

WIREs Data Mining and Knowledge Discovery (2023).
Status: Accepted
2022

Journal articles

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 23 (2022).
Status: Published

Books

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

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

Chichester, UK: John Wiley & Sons, 2022.
Status: Published

Proceedings, refereed

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

In Norwegian AI Symposium: Nordic Artificial Intelligence Research and Development. Springer, 2022.
Status: Published

Posters

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, Valencia, Spain, 2022.
Status: Published
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.
Status: Published

Talks, contributed

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

In NuGOweek 2022 in Spain, 2022.
Status: Published
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

In Nordic Metabolomics 2022, Copenhagen, Denmark, 2022.
Status: Published
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

In Norwegian Bioinformatics Days, Sundvolden, Norway, 2022.
Status: Published
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

In Annual NORBIS Conference, 2022.
Status: Published