Author

Ebony Rose Watson

The University of QueenslandORCID 0000-0003-3385-5315Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Atefeh Taherian FardiD· 2 shared Jessica C. MariD· 2 shared Ariane MoraiD· 1 shared Cecilia Liliana Gomez InclaniD· 1 shared Christopher B. NelsoniD· 1 shared Dominique Power· 1 shared Ernst Jurgen WolvetangiD· 1 shared Giovanni PietrograndeiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Atefeh Taherian FardORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedSep 5, 2022

How does data structure impact cell-cell similarity? Evaluating the influence of structural properties on proximity metric performance in single cell RNA-seq data

Ebony Rose Watson, Ariane Mora, Atefeh Taherian Fard, Jessica C. Mar

This study evaluates how structural properties of scRNA-seq data affect proximity metric performance and recommends tailored approaches for improved clustering.

21 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 24, 2022

Deconstructing replicative senescence heterogeneity of human mesenchymal stem cells at single cell resolution reveals therapeutically targetable senescent cell sub-populations

Atefeh Taherian Fard, Hannah C. Leeson, Julio Aguado…·Jessica C. Mar

This study identifies three distinct senescent subpopulations in human mesenchymal stem cells using single-cell RNA sequencing, revealing potential drug targets for senescence delay.

3 citations

humanscRNA-seq

𝕏 PostBluesky