| Autor: |
Yu-Chen Lo, Timothy J. Keyes, Astraea Jager, Jolanda Sarno, Pablo Domizi, Ravindra Majeti, Kathleen M. Sakamoto, Norman Lacayo, Charles G. Mullighan, Jeffrey Waters, Bita Sahaf, Sean C. Bendall, Kara L. Davis |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-28484-5 |
| Popis: |
Challenges in batch normalization and data integration limit the comparison of existing mass cytometry datasets. Here, the authors report CytofIn that can integrate mass cytometry datasets from the public domain and reveal cellular features associated with immune oncology by analyzing five public cancer datasets. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink