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

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.

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 Creators:
Hoang, Yen1, Author
Gryzik, Stefanie1, Author
Hoppe, Ines1, Author
Rybak, Alexander1, Author
Schädlich, Martin1, Author
Kadner, Isabelle1, Author
Walther, D.2, Author              
Vera, Julio1, Author
Radbruch, Andreas1, Author
Groth, Detlef1, Author
Baumgart, Sabine1, Author
Baumgrass, Ria1, Author
Affiliations:
1External Organizations, ou_persistent22              
2BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753303              

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Language(s): eng - English
 Dates: 2022-04-082022-05-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fimmu.2022.849329
 Degree: -

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Title: Frontiers in immunology
  Abbreviation : Front immunol
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lausanne : Frontiers Media
Pages: - Volume / Issue: 13 Sequence Number: 849329 Start / End Page: - Identifier: ISSN: 1664-3224
CoNE: https://pure.mpg.de/cone/journals/resource/1664-3224