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...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Elsevier
2023-10-01
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| Serie: | Heliyon |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S2405844023077381 |