The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia.

The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia.

Although children and adolescents with acute lymphoblastic leukaemia (ALL) have high survival rates, approximately 15-20% of patients relapse. Risk of relapse is routinely estimated at diagnosis by biological factors, including flow cytometry data. This high-dimensional data is typically manually as...

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Bibliographic Details
Main Authors: Salvador Chulián, Bernadette J Stolz, Álvaro Martínez-Rubio, Cristina Blázquez Goñi, Juan F Rodríguez Gutiérrez, Teresa Caballero Velázquez, Águeda Molinos Quintana, Manuel Ramírez Orellana, Ana Castillo Robleda, José Luis Fuster Soler, Alfredo Minguela Puras, María V Martínez Sánchez, María Rosa, Víctor M Pérez-García, Helen M Byrne
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-08-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1011329

Internet

https://doi.org/10.1371/journal.pcbi.1011329

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