Author

Z. Harchaoui

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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Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:flow cytometry· 1

Frequent Co-Authors

E. V. Armbrust· 2 shared F. Ribalet· 2 shared C. Jones· 1 shared G. L. Britten· 1 shared J. Casey· 1 shared J. P. Mattern· 1 shared K. Glauninger· 1 shared S. Clayton· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersMicrobiology

E. V. Armbrust

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2 papers

Recent·Most cited

A flexible Bayesian approach to estimating size-structured matrix population models

J. P. Mattern, K. Glauninger, G. L. Britten, J. Casey, S. Hyun, Z. Wu, E. V. Armbrust, Z. Harchaoui, F. Ribalet

This paper introduces a Bayesian framework to improve the estimation of size-structured matrix population models for microbial dynamics, demonstrating better performance and biological interpretability.

bioRxiv · Jul 16, 2021 · PreprintMicrobiology

A Kernel-Based Change Detection Method to Map Shifts in Phytoplankton Communities Measured by Flow Cytometry

C. Jones, S. Clayton, F. Ribalet, E. V. Armbrust, Z. Harchaoui

This paper introduces CytoSegmenter, a kernel-based method for segmenting flow cytometry point cloud data to detect shifts in phytoplankton communities, showing these shifts correlate with ocean temperature and salinity changes.

Methods in Ecology and Evolution · Jun 21, 2021Peer-reviewedEcology