Variantval
Variantval is a scalar metric used in data analysis to quantify the estimated impact or importance of a specific variant within a defined model or dataset. It is designed to enable direct comparison of variants and to support prioritization in downstream analyses.
Definition: Variantval is the value produced by applying a scoring framework to a variant V within a
Computation: Variantval can be obtained by a trained predictive model that maps F(V) to a real-valued score,
Interpretation and usage: Higher variantval indicates greater estimated impact or priority, but interpretation depends on calibration
Applications and limitations: Variantval is used for prioritizing variants in sequencing studies, filtering large datasets, and
See also: variant score, pathogenicity prediction, risk score.