Author

Ismail Sebina

Primary ORCID profile (0000-0003-3232-3472 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Ismail SebinaiD2 papers · The University of Queensland

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Ashraful Haque· 1 shared Daniel Fernandez-Ruiz· 1 shared Fernando Souza-Fonseca-Guimaraes· 1 shared Frederik Otzen Bagger· 1 shared Kylie R James· 1 shared Lily G Fogg· 1 shared Max Zwiessele· 1 shared Megan S. F. Soon· 1 shared

Activity by Year

2016-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Ashraful Haque

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1 paper

Recent·Most cited

Temporal mixture modelling of single-cell RNA-seq data resolves a CD4+ T cell fate bifurcation

Tapio Lönnberg, Valentine Svensson, Kylie R James, Daniel Fernandez-Ruiz, Ismail Sebina, Ruddy Montandon, Megan S. F. Soon, Lily G Fogg, Michael J. T. Stubbington, Frederik Otzen Bagger, Max Zwiessele, Neil Lawrence, Fernando Souza-Fonseca-Guimaraes, William R. Heath, Oliver Billker, , Sarah A. Teichmann

The paper uses single-cell RNA sequencing and computational modeling to resolve CD4+ T cell fate bifurcation during Plasmodium infection, showing external influence on fate decisions by monocytes.

bioRxiv · Sep 13, 2016 · PreprintSystems Biology