Associated Papers
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification.
Ryu J et al.
Nature Genetics, 2024
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification.
Ryu J et al.
Medrxiv : the Preprint Server for Health Sciences, 2023
MLb-LDLr: A Machine Learning Model for Predicting the Pathogenicity of LDLr Missense Variants.
Larrea-Sebal A et al.
Jacc. Basic to Translational Science, 2021
Mutation type classification and pathogenicity assignment of sixteen missense variants located in the EGF-precursor homology domain of the LDLR.
Galicia-Garcia U et al.
Scientific Reports, 2020
32015373 (PubMed )
Supplement: 41598_2020_58734_MOESM1_ESM.pdf
Molecular genetic background of an autosomal dominant hypercholesterolemia in the Czech Republic.
Tichý L et al.
Physiological Research, 2017
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