Journal: BMC Bioinformatics
Article Title: Semi-supervised learning for somatic variant calling and peptide identification in personalized cancer immunotherapy
doi: 10.1186/s12859-020-03813-x
Figure Lengend Snippet: 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 . P1–P4 denote the sequencing datasets generated for four different ovarian cancer patients
Article Snippet: In all cases, the resequenced set included all variants that passed the 2CP filter and for which AccessArray primers could be successfully designed using the primer design tool in GeNeo.
Techniques: Multiplexing, Selection, Sequencing, Generated