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A live-cell image-based machine learning strategy for reducing variability in PSC differentiation systems.
Yang, Xiaochun; Chen, Daichao; Sun, Qiushi; Wang, Yao; Xia, Yu; Yang, Jinyu; Lin, Chang; Dang, Xin; Cen, Zimu; Liang, Dongdong; Wei, Rong; Xu, Ze; Xi, Guangyin; Xue, Gang; Ye, Can; Wang, Li-Peng; Zou, Peng; Wang, Shi-Qiang; Rivera-Fuentes, Pablo; Püntener, Salome; Chen, Zhixing; Liu, Yi; Zhang, Jue; Zhao, Yang.
Afiliación
  • Yang X; State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
  • Chen D; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
  • Sun Q; Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
  • Wang Y; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
  • Xia Y; College of Engineering, Peking University, Beijing, China.
  • Yang J; College of Engineering, Peking University, Beijing, China.
  • Lin C; College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing, China.
  • Dang X; State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
  • Cen Z; State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
  • Liang D; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
  • Wei R; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
  • Xu Z; State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, China.
  • Xi G; State Key Laboratory of Natural and Biomimetic Drugs, MOE Key Laboratory of Cell Proliferation and Differentiation, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
  • Xue G; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
  • Ye C; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
  • Wang LP; State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, China.
  • Zou P; College of Chemistry and Molecular Engineering, Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Peking University, Beijing, China.
  • Wang SQ; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
  • Rivera-Fuentes P; State Key Laboratory of Membrane Biology, College of Life Sciences, Peking University, Beijing, China.
  • Püntener S; Department of Chemistry, University of Zurich, Zurich, Switzerland.
  • Chen Z; Department of Chemistry, University of Zurich, Zurich, Switzerland.
  • Liu Y; Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédéral de Lausanne, Lausanne, Switzerland.
  • Zhang J; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
  • Zhao Y; Institute of Molecular Medicine, National Biomedical Imaging Center, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
Cell Discov ; 9(1): 53, 2023 Jun 06.
Article en En | MEDLINE | ID: mdl-37280224

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cell Discov Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cell Discov Año: 2023 Tipo del documento: Article País de afiliación: China