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Optimization of in silico tools for predicting genetic variants: individualizing for genes with molecular sub-regional stratification.
Tang, Bin; Li, Bin; Gao, Liang-Di; He, Na; Liu, Xiao-Rong; Long, Yue-Sheng; Zeng, Yang; Yi, Yong-Hong; Su, Tao; Liao, Wei-Ping.
Afiliação
  • Tang B; Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University.
  • Li B; Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzo, China.
  • Gao LD; Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University.
  • He N; Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzo, China.
  • Liu XR; Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University.
  • Long YS; Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University.
  • Zeng Y; Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University.
  • Yi YH; Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzo, China.
  • Su T; Institute of Neuroscience and the Second Affiliated Hospital of Guangzhou Medical University.
  • Liao WP; Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzo, China.
Brief Bioinform ; 21(5): 1776-1786, 2020 09 25.
Article em En | MEDLINE | ID: mdl-31686106
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article