Author

Ayad G. Anwer

UNSW SydneyORCID 0000-0002-2029-1023Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Abbas HabibalahiiD· 2 shared Ewa Magdalena GoldysiD· 2 shared Angela S. Y. ChouiD· 1 shared Anthony James GilliD· 1 shared Carol A. PollockiD· 1 shared Catherine GattiD· 1 shared Emma M. V. JohanssoniD· 1 shared Fabio ZaniniiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Abbas HabibalahiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 27, 2024

Integration of hyperspectral imaging and transcriptomics from individual cells with HyperSeq

Yike Xie, Abbas Habibalahi, Ayad G. Anwer…·Fabio Zanini

HyperSeq integrates hyperspectral imaging and transcriptomics on the same cell to link optical spectra with molecular states in MCF-7 breast cancer cells.

1 citation

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintApr 19, 2022

moRphology - dEep Learning Imaging Cells (RELIC) - to Differentiate Between Normal and Pathological Kidney Exfoliated Cells

Abbas Habibalahi, Jared M. Campbell, Saabah B. Mahbub…·Ewa Magdalena Goldys

This paper develops a deep learning method called RELIC to differentiate between normal and pathological kidney exfoliated cells using urine samples with 82% accuracy.

3 citations

humanimaging

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