Machine-learning triage of LDLR variants of uncertain significance using predictor concordance and ACMG-aligned evidence mapping
-
Updated
Apr 15, 2026 - Python
Machine-learning triage of LDLR variants of uncertain significance using predictor concordance and ACMG-aligned evidence mapping
Machine-learning triage of LDLR variants of uncertain significance using predictor concordance and ACMG-aligned evidence mapping
Validation of AlphaMissense
NextGen-Era is an educational and interactive web application designed to support children's personal growth and learning through engaging activities. Built with Laravel and Vue.js, it features a secure API, responsive user interface, and automated deployment via GitHub Actions and Microsoft Azure.
VUS Meta-Predictor: Genomic language model-powered variant interpretation. Combines ESM-2, amino acid physicochemistry, and gene constraints for calibrated missense pathogenicity prediction (AUROC 0.962).
Supplementary Data for Pillai et al., 2025.
To associate your repository with the vus topic, visit your repo's landing page and select "manage topics."