Author

Carol A. Pollock

The University of SydneyORCID 0000-0001-7167-6495Unclaimed 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· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Sonia SaadiD· 2 shared Abbas HabibalahiiD· 1 shared Angela S. Y. ChouiD· 1 shared Anna GulleriD· 1 shared Anthony James GilliD· 1 shared Ayad G. AnweriD· 1 shared Edward S. X. MohiD· 1 shared Ewa Magdalena GoldysiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersMolecular Biology

Sonia SaadORCID

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2 papers

Recent·Most cited

Molecular BiologyInternational Journal of Molecular SciencesPeer-reviewedFeb 1, 2023

IDENTIFICATION AND QUANTIFICATION OF MATRISOME PROTEINS OF MOUSE KIDNEYS

Umut Rende, Seong Beom Ahn, Subash Adhikari…·Anna Guller

This study identifies and quantifies matrisome proteins in healthy mouse kidneys using two extraction methods, finding 113 proteins including 22 new to the Matrisome Database.

14 citations

mouseproteomics

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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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