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Dimensionality reduction by UMAP reinforces sample heterogeneity analysis in bulk transcriptomic data.
Yang, Yang; Sun, Hongjian; Zhang, Yu; Zhang, Tiefu; Gong, Jialei; Wei, Yunbo; Duan, Yong-Gang; Shu, Minglei; Yang, Yuchen; Wu, Di; Yu, Di.
Afiliación
  • Yang Y; The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Brisbane, QLD, Australia; Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
  • Sun H; Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; School of Microelectronics, Shandong University, Jinan, China.
  • Zhang Y; Laboratory of Immunology for Environment and Health, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
  • Zhang T; University of Electronic Science and Technology of China, Chengdu, China.
  • Gong J; Shenzhen Key Laboratory of Fertility Regulation, Center of Assisted Reproduction and Embryology, University of Hong Kong, Shenzhen Hospital, Shenzhen, China.
  • Wei Y; Laboratory of Immunology for Environment and Health, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
  • Duan YG; Shenzhen Key Laboratory of Fertility Regulation, Center of Assisted Reproduction and Embryology, University of Hong Kong, Shenzhen Hospital, Shenzhen, China.
  • Shu M; Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
  • Yang Y; Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Wu D; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Oral and Craniofacial Health Science, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North
  • Yu D; The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Translational Research Institute, Brisbane, QLD, Australia; Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Laboratory of Immu
Cell Rep ; 36(4): 109442, 2021 07 27.
Article en En | MEDLINE | ID: mdl-34320340
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Perfilación de la Expresión Génica / Análisis de Datos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cell Rep Año: 2021 Tipo del documento: Article País de afiliación: China
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Perfilación de la Expresión Génica / Análisis de Datos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Cell Rep Año: 2021 Tipo del documento: Article País de afiliación: China