Author

Taiyao Wang

Boston UniversityORCID 0000-0002-0331-3892Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Organism:E. coli· 1

Frequent Co-Authors

Daniel SegrèiD· 2 shared Ioannis Ch. PaschalidisiD· 2 shared Meghan Thommes· 2 shared Elena J. Forchielli· 1 shared Konrad HerbstiD· 1 shared Qi ZhaoiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersSystems Biology

Daniel SegrèORCID

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2 papers

Recent·Most cited

Prediction of representative phenotypes using Multi-Attribute Subset Selection

Konrad Herbst, Taiyao Wang, Elena J. Forchielli, Meghan Thommes, Ioannis Ch. Paschalidis, Daniel Segrè

This paper introduces MASS, an algorithm for selecting representative phenotypes from complex datasets, applied to microbial data to identify predictive environmental conditions.

bioRxiv · Jun 20, 2022 · PreprintSystems Biology

Designing metabolic division of labor in microbial communities

Meghan Thommes, Taiyao Wang, Qi Zhao, Ioannis Ch. Paschalidis, Daniel Segrè

The paper uses in silico models to study metabolic division of labor in microbial communities, finding nonintuitive strategies like splitting the TCA cycle between strains.

mSystems · Apr 8, 2019Peer-reviewedSystems Biology