Author

S. S. Kashaf

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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Bioengineering· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

A. Rzhetsky· 1 shared B. Schuster· 1 shared C. Deming· 1 shared C. Weber· 1 shared D. Ishay-Ronen· 1 shared H. H. Kong· 1 shared J. M. Matthews· 1 shared J. Segre· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

A. Rzhetsky

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Author profile →

2 papers

Recent·Most cited

Integrated genomic and functional analyses of human skin-associated Staphylococcus reveals extensive inter- and intra-species diversity

P. Joglekar, S. Conlan, S.-Q. Lee-Lin, C. Deming, S. S. Kashaf, P. Thomas, H. H. Kong, J. Segre

This study characterizes the genomic and functional diversity of skin-associated Staphylococcus species using metagenomic and pan-genome analyses, revealing extensive strain-specific gene variation and functional specialization.

bioRxiv · Jun 22, 2023 · PreprintMicrobiology

OrganoID: a versatile deep learning platform for tracking and analysis of single-organoid dynamics

J. M. Matthews, B. Schuster, S. S. Kashaf, P. Liu, R. Ben-Yishay, D. Ishay-Ronen, L. Shen, C. Weber, M. Bielski, S. S. Kupfer, M. Bilgic, A. Rzhetsky, S. Tay

OrganoID automatically tracks and analyzes single-organoid dynamics in microscopy images, showing high accuracy in counting, sizing, and morphology analysis across multiple organoid types.

bioRxiv · Jan 13, 2022Bioengineering