Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry

Mass cytometry by time-of-flight (CyTOF) is an emerging technology allowing for in-depth characterization of cellular heterogeneity in cancer and other diseases. Unfortunately, high-dimensional analyses of CyTOF data remain quite demanding. Here, we deploy a bioinformatics framework that tackles two...

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Bibliographic Details

Published in:	iScience Vol. 27; no. 7; p. 110261
Main Authors:	Kleftogiannis, Dimitrios, Gavasso, Sonia, Tislevoll, Benedicte Sjo, van der Meer, Nisha, Motzfeldt, Inga K.F., Hellesøy, Monica, Gullaksen, Stein-Erik, Griessinger, Emmanuel, Fagerholt, Oda, Lenartova, Andrea, Fløisand, Yngvar, Schuringa, Jan Jacob, Gjertsen, Bjørn Tore, Jonassen, Inge
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 19-07-2024 Elsevier
Subjects:	Bioinformatics Cancer Machine learning Bioinformatics Machine learning Cancer
Online Access:	Get full text
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