PRI: Re-analysis of a public mass cytometry dataset reveals patterns of 
effective tumor treatments

Hoang, Yen; Gryzik, Stefanie; Hoppe, Ines; Rybak, Alexander; Schädlich, Martin; Kadner, Isabelle; Walther, D.; Vera, Julio; Radbruch, Andreas; Groth, Detlef; Baumgart, Sabine; Baumgrass, Ria

doi:10.3389/fimmu.2022.849329

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PRI: Re-analysis of a public mass cytometry dataset reveals patterns of effective tumor treatments

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Walther, D.
BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Hoang, Y., Gryzik, S., Hoppe, I., Rybak, A., Schädlich, M., Kadner, I., et al. (2022). PRI: Re-analysis of a public mass cytometry dataset reveals patterns of effective tumor treatments. Frontiers in immunology, 13: 849329. doi:10.3389/fimmu.2022.849329.

Cite as: https://hdl.handle.net/21.11116/0000-000A-3A96-C

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