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Fig. 4 | BMC Bioinformatics

Fig. 4

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

Fig. 4

Expected TP count at different multiplexing rates for SNVQ, Strelka, 2CP, and PLATO run using AutoML, spies-based classification threshold selection, and 50% bootstrap support. The dots represent TP counts from the actual AccessArray resequencing experiment reported in Table 1. P1–P4 denote the sequencing datasets generated for four different ovarian cancer patients

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