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A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization | Scientific Reports
SEQ Platform's Automated Variant Classification Tool: Highlighting VUS+ And VUS++ Classification
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Using the ACMG/AMP framework to capture evidence related to predicted and observed impact on splicing: Recommendations from the ClinGen SVI Splicing Subgroup - ScienceDirect
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ClassifyCNV: a tool for clinical annotation of copy-number variants | Scientific Reports
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GenOtoScope: Towards automating ACMG classification of variants associated with congenital hearing loss | PLOS Computational Biology
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In silico prediction tools and metaservers used in the current study | Download Table
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