10.6084/m9.figshare.c.3851767_D15.v1 Elena Campa Elena Campa NatĂ lia Padilla NatĂ lia Padilla Xavier Cruz Xavier Cruz Additional file 7: Table S3. of Development of pathogenicity predictors specific for variants that do not comply with clinical guidelines for the use of computational evidence Springer Nature 2017 In silico pathogenicity predictors Protein sequence variants Molecular diagnostics Missense variants Next-generation sequencing 2017-08-11 05:00:00 Journal contribution https://springernature.figshare.com/articles/journal_contribution/Additional_file_7_Table_S3_of_Development_of_pathogenicity_predictors_specific_for_variants_that_do_not_comply_with_clinical_guidelines_for_the_use_of_computational_evidence/5305858 Prediction performance for the PRDIS specific predictors in this work for VS2168 dataset; each corresponds to a different combination of the reference predictors (SIFT, PolyPhen-2, PON-P2, CADD and MutationTaster2). The performance measures are the six standard measures (MCC, accuracy, sensitivity, specificity, PPV and NPV) described in the Materials and Methods section. We also give: the total number and the percentage of cases, and the raw TP, TN, FP and FN values. (PDF 26 kb)