Author

S. This

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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Immunology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

A. Gainullina· 1 shared A. Kent· 1 shared A. Sergushichev· 1 shared B. Jia· 1 shared B. Maier· 1 shared C. Benoist· 1 shared C. Jakubzick· 1 shared C. Scott· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

A. Gainullina

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2 papers

Recent·Most cited

Predicting T cell activation based on intracellular calcium fluctuations

S. This, S. Costantino, H. J. Melichar

This paper uses deep learning to predict T cell antigen specificity from intracellular calcium fluctuations, offering a faster alternative to traditional methods.

bioRxiv · Jun 14, 2023 · PreprintImmunology

Open Source ImmGen: network perspective on metabolic diversity among mononuclear phagocytes

A. Gainullina, L.-H. Huang, H. Todorov, K. Kim, L. S. Yng, A. Kent, B. Jia, K. Seddu, K. Krchma, J. Wu, K. Crozat, E. Tomasello, V. Narang, R. Dress, P. See, , ImmGen Consortium

The paper analyzes metabolic diversity in mononuclear phagocytes across tissues using integrated datasets and a network-based approach, identifying key metabolic subnetworks and their functional roles.

bioRxiv · Jul 15, 2020Immunology