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GitHub / NCI-CGR / HPV_low_VAF_SNV_prediction
Predicting true low-VAF SNVs in HPV using triplicate NGS samples and machine learning
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NCI-CGR%2FHPV_low_VAF_SNV_prediction
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 17.3 MB
Dependencies: pending
Created: 9 months ago
Updated: 4 months ago
Last pushed: 2 months ago
Last synced: 2 months ago
Topics: cancer-genomics, extreme-gradient-boosting, hpv, human-papillomavirus, intrahost, intrahost-genetic-diversity, ion-torrent, isnv, machine-learning, ngs-analysis, single-nucleotide-variation, snv, variant-call-format, variant-calling, vcf, vcf-files, vcfgenie