Associated Papers
WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease.
Vatsyayan A et al.
Plos One, 2024
38758754 (PubMed )
Supplement: pone.0303787.s016.xlsx › S4table
Genetic analysis of ATP7B in 102 south Indian families with Wilson disease.
Singh N et al.
Plos One, 2019
31059521 (PubMed )
Supplement: pone.0215779.s001.pdf
Structural Biology Helps Interpret Variants of Uncertain Significance in Genes Causing Endocrine and Metabolic Disorders.
Ittisoponpisan S et al.
Journal of the Endocrine Society, 2018
30019023 (PubMed )
Supplement: js.2018-00077.sd2.xls › Sheet1
GESPA: classifying nsSNPs to predict disease association.
Khurana JK et al.
Bmc Bioinformatics, 2015
26206375 (PubMed )
Supplement: 12859_2015_673_MOESM2_ESM.xls › Sheet1
Genotyping microarray as a novel approach for the detection of ATP7B gene mutations in patients with Wilson disease.
Gojová L et al.
Clinical Genetics, 2008
Mutation analysis of the ATP7B gene and genotype/phenotype correlation in 227 patients with Wilson disease.
Vrabelova S et al.
Molecular Genetics and Metabolism, 0
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