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Fig. 6 | Malaria Journal

Fig. 6

From: Classification and clinical significance of immunogenic cell death-related genes in Plasmodium falciparum infection determined by integrated bioinformatics analysis and machine learning

Fig. 6

Nomogram construction and classification performance evaluation. A The nomogram for classification of high parasitaemia in the GSE34404 dataset. Each predictor variable (CD3E and FCGR1A) is represented on a separate axis. To use, assign points for each predictor value, sum these to get a total score, and then find the corresponding high parasitaemia risk on the bottom axis. B–D The ROC curves for each candidate hub gene (CD3E and FCGR1A) and the nomogram show their significant classification efficacy for high parasitaemia in the GSE34404 dataset. E–G The ROC curves of the nomogram and candidate hub genes (CD3E and FCGR1A) show their significant classification efficacy for high parasitaemia in the GSE132050 validation dataset. H–J The ROC curves of the nomogram and candidate hub genes (CD3E and FCGR1A) show their significant classification efficacy for high parasitaemia in the GSE52166 validation dataset. K–LThe correlation between candidate hub gene (CD3E and FCGR1A) expression and clinical score (the sum of adverse events on the day of diagnosis) in the GSE132050 validation dataset. Statistical analyses were performed using the unpaired t test. * p < 0.05

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Malaria Journal

ISSN: 1475-2875

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