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Experiment: ShapeCancerRelapse

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URI: http://hdl.handle.net/10498/31087

URL: http://flowrepository.org/id/FR-FCM-Z68U

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Author/s
Chulián, Salvador; Martínez-Rubio, ÁlvaroAuthority UCA; Rosa, María
Date
2023-04-01
Department
Matemáticas
Abstract
Find differences in the topological structure of the FC data between relapsing (R) and non relapsing (NR) patients in acute lymphoblastic leukemia patients. We used topological data analysis (TDA) and Machine Learning (ML) techniques. Data used in the article "The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia" with DOI https://doi.org/10.1371/journal.pcbi.1011329.
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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