Data for: Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 variants

Published: 16 March 2021| Version 2 | DOI: 10.17632/6mh8mpnbgv.2
Contributor:
xiao mei luo

Description

This is the Supporting Datasets for the manuscript "Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 variants" by Luo et al in EBiomedicine . The two data sets were processed sequencing data, of which the Discovery Set was from the medical records and the Validation Set was from the Disabled Persons' Federation. PS: No mutations found were indicated by 0, heterozygous mutations by 1, and homozygous mutations by 2

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