Author

Nikolaos‐Kosmas Chlis

Helmholtz MunichORCID 0000-0002-6712-8346Unclaimed 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:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Fabian Joachim TheisiD· 2 shared Carsten MarriD· 1 shared Elke GlasmacheriD· 1 shared Fabian SchmichiD· 1 shared Florian WolfiD· 1 shared Katharina EssigiD· 1 shared Marina BacaciD· 1 shared Sayedali Shetab BoushehriiD· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Fabian Joachim TheisORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 30, 2023

scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies

Sayedali Shetab Boushehri, Katharina Essig, Nikolaos‐Kosmas Chlis…·Fabian Schmich

scifAI provides an open-source framework for analyzing imaging flow cytometry data to predict antibody function and characterize immunological synapses.

22 citations

humanimaging

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedMay 31, 2017

Model-based branching point detection in single-cell data by K-Branches clustering

Nikolaos‐Kosmas Chlis, Florian Wolf, Fabian Joachim Theis

K-Branches detects branching points in single-cell data by clustering and model selection, identifying subgroups associated with differentiation events.

14 citations

mousescRNA-seq

𝕏 PostBluesky