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Fig. 5 | Biology Direct

Fig. 5

From: Identification of M2 macrophage-related genes associated with diffuse large B-cell lymphoma via bioinformatics and machine learning approaches

Fig. 5

Identification of diagnostic genes. (A and B) The LASSO logistic regression algorithm was utilized, with penalty parameter tuning performed through 10-fold cross-validation, leading to the selection of 9 genes associated with DLBCL characteristics. (C and D) The SVW-RFE algorithm was applied to determine the optimal combination of feature genes and ultimately identifying 10 genes (maximum accuracy = 0.871, minimum RMSE = 0.129) as the optimal feature set. (E and F) The RF algorithm determined 8 genes as the best feature genes

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Biology Direct

ISSN: 1745-6150

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