Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: Semi-supervised learning for somatic variant calling and peptide identification in personalized cancer immunotherapy

Fig. 3

F1 scores obtained by running PLATO with \(N=20\) bootstraps. a Random forest classification with spies-based classification threshold versus 0.5 default, b AutoML classification with spies versus 0.5 default, and c AutoML with spies versus random forest with spies. P1–P4 denote the sequencing datasets generated for four different ovarian cancer patients

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us