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Single-cell mass cytometry and machine learning predict relapse in childhood leukemia
Improved insight into cancer cell populations responsible for treatment failure will lead to better outcomes for patients. We herein highlight a single-cell study of B-cell precursor acute lymphoblastic leukemia (BCP-ALL) at diagnosis that revealed hidden developmentally dependent cell signaling sta...
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| Gepubliceerd in: | Mol Cell Oncol |
|---|---|
| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Taylor & Francis
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6154835/ https://ncbi.nlm.nih.gov/pubmed/30263942 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/23723556.2018.1472057 |
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