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A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy.
Deng, Wenxuan; Li, Bolun; Wang, Jiawei; Jiang, Wei; Yan, Xiting; Li, Ningshan; Vukmirovic, Milica; Kaminski, Naftali; Wang, Jing; Zhao, Hongyu.
Afiliação
  • Deng W; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
  • Li B; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
  • Wang J; State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing, China.
  • Jiang W; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
  • Yan X; Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
  • Li N; Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Vukmirovic M; Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Kaminski N; Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Wang J; Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St., ON, Canada.
  • Zhao H; Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Brief Bioinform ; 24(1)2023 01 19.
Article em En | MEDLINE | ID: mdl-36631398
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article