Author

K. Lee-Sarwar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metabolomics· 1 Organism:multiple species· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. A. Litonjua· 1 shared S. Maslov· 1 shared S. T. Weiss· 1 shared T. Wang· 1 shared X.-W. Wang· 1 shared Y. Sun· 1 shared Y.-Y. Liu· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

A. A. Litonjua

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1 paper

Recent·Most cited

Predicting metabolomic profiles from microbial composition through neural ordinary differential equations

T. Wang, X.-W. Wang, K. Lee-Sarwar, A. A. Litonjua, S. T. Weiss, Y. Sun, S. Maslov, Y.-Y. Liu

This paper introduces mNODE, a neural ODE-based method predicting metabolomic profiles from microbial composition, showing superior performance and interpretability across human and environmental microbiomes.

Nature Machine Intelligence · Mar 13, 2023Peer-reviewedMicrobiology