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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Bibliographic Details
Main Authors: Athanasios Angelakis, Ioanna Soulioti, Michael Filippakis
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Heliyon
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023077381