Taming Cell-to-Cell Heterogeneity in Acute Myeloid Leukaemia With Machine Learning

Acute Myeloid Leukaemia (AML) is a phenotypically and genetically heterogenous blood cancer characterised by very poor prognosis, with disease relapse being the primary cause of treatment failure. AML heterogeneity arise from different genetic and non-genetic sources, including its proposed hierarch...

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Detalles Bibliográficos
Autores principales: Sánchez-Corrales, Yara E., Pohle, Ruben V. C., Castellano, Sergi, Giustacchini, Alice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117935/
https://www.ncbi.nlm.nih.gov/pubmed/33996595
http://dx.doi.org/10.3389/fonc.2021.666829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8117935/
https://www.ncbi.nlm.nih.gov/pubmed/33996595
http://dx.doi.org/10.3389/fonc.2021.666829

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