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Article

Uncovering the Gene Profile of Acute Myeloid Leukaemia Using Gradient Boosted Trees

2022-12-20

Abstract excerpt

<title>Abstract</title> <p>Applying the iterative methodology for dimensionality reduction using categorical gradient boosted trees, as it has been defined in [9], on a dataset consisted of 12708 genes expressions coming from 5052 individuals from 105 studies, we classify whether a person has acute myeloid leukaemia (AML) or is healthy. A CatBoost model on the dataset with reduced dimensions of 72 genes reached a...

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Literature Corpus work
49ef7dce-400d-523b-b8d4-baa73fa45a62
DOI
10.21203/rs.3.rs-2374064/v1
Open publication

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Uncovering the Gene Profile of Acute Myeloid Leukaemia Using Gradient Boosted TreesDOI 10.21203/rs.3.rs-2374064/v1
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