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Clustering ensemble in scRNA-seq data analysis: Methods, applications and challenges.
Nie, Xiner; Qin, Dan; Zhou, Xinyi; Duo, Hongrui; Hao, Youjin; Li, Bo; Liang, Guizhao.
Afiliación
  • Nie X; Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, China; College of Life Sciences, Chongqing Normal University, Chongqing, 400044, PR China.
  • Qin D; Department of Biology, College of Science, Northeastern University, Boston, MA, 02115, USA.
  • Zhou X; College of Life Sciences, Chongqing Normal University, Chongqing, 400044, PR China.
  • Duo H; College of Life Sciences, Chongqing Normal University, Chongqing, 400044, PR China.
  • Hao Y; College of Life Sciences, Chongqing Normal University, Chongqing, 400044, PR China.
  • Li B; College of Life Sciences, Chongqing Normal University, Chongqing, 400044, PR China. Electronic address: libcell@cqnu.edu.cn.
  • Liang G; Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, China. Electronic address: gzliang@cqu.edu.cn.
Comput Biol Med ; 159: 106939, 2023 06.
Article en En | MEDLINE | ID: mdl-37075602
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Análisis de la Célula Individual / Análisis de Expresión Génica de una Sola Célula Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Análisis de la Célula Individual / Análisis de Expresión Génica de una Sola Célula Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article