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AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning.
Pan, Xingxin; Coban Akdemir, Zeynep H; Gao, Ruixuan; Jiang, Xiaoqian; Sheynkman, Gloria M; Wu, Erxi; Huang, Jason H; Sahni, Nidhi; Yi, S Stephen.
Afiliação
  • Pan X; Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.
  • Coban Akdemir ZH; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Gao R; Departments of Chemistry and Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, USA.
  • Jiang X; School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX 77030, USA.
  • Sheynkman GM; Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22903, USA.
  • Wu E; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
  • Huang JH; Center for Public Health Genomics, and UVA Comprehensive Cancer Center, University of Virginia, Charlottesville, VA 22903, USA.
  • Sahni N; Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.
  • Yi SS; Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA.
Brief Bioinform ; 24(2)2023 03 19.
Article em En | MEDLINE | ID: mdl-36752347

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos