OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics.
Autorzy:
Matthews JM; Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, United States of America.; Institute for Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.; Pritzker School of Medicine, The University of Chicago, Chicago, Illinois, United States of America. Schuster B; Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, United States of America.; Institute for Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.; Department of Chemistry, The University of Chicago, Chicago, Illinois, United States of America. Kashaf SS; Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, United States of America.; Institute for Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.; Pritzker School of Medicine, The University of Chicago, Chicago, Illinois, United States of America. Liu P; Department of Computer Science, Illinois Institute of Technology, Chicago, Illinois, United States of America. Ben-Yishay R; Institute of Oncology, Sheba Medical Center, Ramat-Gan, Israel.; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Ishay-Ronen D; Institute of Oncology, Sheba Medical Center, Ramat-Gan, Israel.; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Izumchenko E; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America. Shen L; Department of Pathology, The University of Chicago, Chicago, Illinois, United States of America.; Organoid and Primary Culture Research Core, The University of Chicago, Chicago, Illinois, United States of America. Weber CR; Organoid and Primary Culture Research Core, The University of Chicago, Chicago, Illinois, United States of America.; Department of Surgery, The University of Chicago, Chicago, Illinois, United States of America. Bielski M; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America. Kupfer SS; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America. Bilgic M; Department of Computer Science, Illinois Institute of Technology, Chicago, Illinois, United States of America. Rzhetsky A; Institute for Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America.; Department of Human Genetics, The University of Chicago, Chicago, Illinois, United States of America. Tay S; Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, United States of America.; Institute for Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2022 Nov 09; Vol. 18 (11), pp. e1010584. Date of Electronic Publication: 2022 Nov 09 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
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