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)