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SyMetrics: An Integrated Machine Learning Model for Evaluating the Pathogenicity of Synonymous Variants in the Human Genome

2025-03-23

Abstract excerpt

Synonymous single nucleotide variants (sSNVs), traditionally seen as neutral, are now recognized for their biological impact. To assess their relevance, we developed SyMetrics, a framework that integrates predictors of splicing, RNA stability, evolutionary conservation, codon usage, synonymous variation effects, sequence properties, and allele frequency. We analyzed all possible sSNVs across the human genome, and...

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Literature Corpus work
11d56a35-4a5b-53e6-a772-47dcc59771b7
DOI
10.1101/2025.03.21.25324414
Open publication

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