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Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry.
Zhang, Zunming; Chen, Xinyu; Tang, Rui; Zhu, Yuxuan; Guo, Han; Qu, Yunjia; Xie, Pengtao; Lian, Ian Y; Wang, Yingxiao; Lo, Yu-Hwa.
Afiliación
  • Zhang Z; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Chen X; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Tang R; NanoCellect Biomedical, Inc., San Diego, CA, 92121, USA.
  • Zhu Y; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Guo H; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Qu Y; Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0435, USA.
  • Xie P; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Lian IY; Department of Biology, Lamar University, Beaumont, TX, 77710, USA.
  • Wang Y; Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0435, USA.
  • Lo YH; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA. ylo@ucsd.edu.
Sci Rep ; 13(1): 20533, 2023 11 23.
Article en En | MEDLINE | ID: mdl-37996496

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático no Supervisado Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático no Supervisado Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos