Machine Learning Based Analysis of Relations between Antigen Expression and Genetic Aberrations in Childhood B-Cell Precursor Acute Lymphoblastic Leukaemia

Machine Learning Based Analysis of Relations between Antigen Expression and Genetic Aberrations in Childhood B-Cell Precursor Acute Lymphoblastic Leukaemia

Flow cytometry technique (FC) is a standard diagnostic tool for diagnostics of B-cell precursor acute lymphoblastic leukemia (BCP-ALL) assessing the immunophenotype of blast cells. BCP-ALL is often associated with underlying genetic aberrations, that have evidenced prognostic significance and can im...

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Bibliographic Details
Main Authors: Jan Kulis, Łukasz Wawrowski, Łukasz Sędek, Łukasz Wróbel, Łukasz Słota, Vincent H. J. van der Velden, Tomasz Szczepański, Marek Sikora
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Journal of Clinical Medicine
Subjects:
acute lymphoblastic leukaemia
flow cytometry
cytogenetics
machine learning
knowledge discovery
classification
Online Access:https://www.mdpi.com/2077-0383/11/9/2281

Internet

https://www.mdpi.com/2077-0383/11/9/2281

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