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
Development and identification of a induced pluripotent stem cells line (SMBCi013-A) derived from urine cells of a patient with Wilson's disease.
Zhao Y et al.
Stem Cell Research, 2022
GESPA: classifying nsSNPs to predict disease association.
Khurana JK et al.
Bmc Bioinformatics, 2015
26206375 (PubMed )
Supplement: 12859_2015_673_MOESM2_ESM.xls › Sheet1
Identification of novel mutations and the three most common mutations in the human ATP7B gene of Korean patients with Wilson disease.
Yoo HW
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 0
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