Diagnosis of acute myeloid leukaemia on microarray gene expression data using categorical gradient boosted trees

We define an iterative method for dimensionality reduction using categorical gradient boosted trees and Shapley values and created four machine learning models which potentially could be used as diagnostic tests for acute myeloid leukaemia (AML). For the final Catboost model we use a dataset of 2177...

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Detalles Bibliográficos
Autores principales: Angelakis, Athanasios, Soulioti, Ioanna, Filippakis, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582309/
https://www.ncbi.nlm.nih.gov/pubmed/37860531
http://dx.doi.org/10.1016/j.heliyon.2023.e20530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582309/
https://www.ncbi.nlm.nih.gov/pubmed/37860531
http://dx.doi.org/10.1016/j.heliyon.2023.e20530

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