Author

K. Lüll

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Biology Disciplines

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Microbiology· 1

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Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. J. Lusis· 1 shared C. Pan· 1 shared E. Org· 1 shared J. Kuusisto· 1 shared J. M. Lang· 1 shared K. Fischer· 1 shared M. Laakso· 1 shared O. Aasmets· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperMicrobiology

A. J. Lusis

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1 paper

Recent·Most cited

Machine learning reveals time-varying microbial predictors with complex effects on glucose regulation

O. Aasmets, K. Lüll, J. M. Lang, C. Pan, J. Kuusisto, K. Fischer, M. Laakso, A. J. Lusis, E. Org

This study uses machine learning to identify gut microbiome predictors of glucose regulation and T2D risk using longitudinal data from a Finnish cohort.

bioRxiv · Aug 13, 2020Microbiology