Author

F. B. Hu

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

S. T. Weiss· 2 shared T. Wang· 2 shared Y.-Y. Liu· 2 shared A. T. Chan· 1 shared H. D. Holscher· 1 shared J.-S. Zheng· 1 shared L. Zhu· 1 shared M. Shuai· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersMicrobiology

S. T. Weiss

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Author profile →

2 papers

Recent·Most cited

Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments

T. Wang, Y. Fu, M. Shuai, J.-S. Zheng, L. Zhu, A. T. Chan, Q. Sun, F. B. Hu, S. T. Weiss, Y.-Y. Liu

This study introduces METRIC, a deep-learning method that uses gut microbiome data to correct random errors in self-reported dietary assessments, showing effectiveness in simulated and real-world datasets.

bioRxiv · Nov 21, 2023Microbiology

Predicting metabolite response to dietary intervention using deep learning

T. Wang, H. D. Holscher, S. Maslov, F. B. Hu, S. T. Weiss, Y.-Y. Liu

This paper develops a deep learning model to predict individual metabolite responses to dietary interventions based on gut microbiota composition, showing improved performance over traditional methods.

bioRxiv · Mar 14, 2023Microbiology