Wilson's disease: A new perspective review on its genetics, diagnosis and treatment.
Front Biosci (Elite Ed)
; 11(1): 166-185, 2019 06 01.
Article
en En
| MEDLINE
| ID: mdl-31136971
ABSTRACT
Wilson's disease (WD) is an autosomal recessive disorder which is caused by poor excretion of copper in mammalian cells. In this review, various issues such as effective characterization of ATP7B genes, scope of gene network topology in genetic analysis, pattern recognition using different computing approaches and fusion possibilities in imaging and genetic dataset are discussed vividly. We categorized this study into three major sections (A) WD genetics, (B) diagnosis guidelines and (3) treatment possibilities. We addressed the scope of advanced mathematical modelling paradigms for understanding common genetic sequences and dominating WD imaging biomarkers. We have also discussed current state-of-the-art software models for genetic sequencing. Further, we hypothesized that involvement of machine and deep learning techniques in the context of WD genetics and image processing for precise classification of WD. These computing procedures signify changing roles of various data transformation techniques with respect to supervised and unsupervised learning models.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
ATPasas Transportadoras de Cobre
/
Aprendizaje Profundo
/
Degeneración Hepatolenticular
Tipo de estudio:
Diagnostic_studies
/
Guideline
Límite:
Humans
Idioma:
En
Revista:
Front Biosci (Elite Ed)
Asunto de la revista:
BIOLOGIA
Año:
2019
Tipo del documento:
Article
País de afiliación:
Italia