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A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features.

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Title: A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features.
Authors: Carnevali D; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain., Zhong L; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China., González-Almela E; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China., Viana C; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain., Rotkevich M; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain., Wang A; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China., Franco-Barranco D; Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), Paseo Manuel Lardizabal 1, San Sebastian, Spain.; Donostia International Physics Center (DIPC), San Sebastian, Spain., Gonzalez-Marfil A; Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), Paseo Manuel Lardizabal 1, San Sebastian, Spain.; Donostia International Physics Center (DIPC), San Sebastian, Spain., Neguembor MV; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain., Castells-Garcia A; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China., Arganda-Carreras I; Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), Paseo Manuel Lardizabal 1, San Sebastian, Spain.; Donostia International Physics Center (DIPC), San Sebastian, Spain.; Ikerbasque, Basque Foundation for Science, Bilbao, Spain.; Biofisika Institute, Barrio Sarrena s/n, Leioa, Spain., Cosma MP; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; ICREA, Barcelona, Spain.; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Source: Nature machine intelligence [Nat Mach Intell] 2024; Vol. 6 (9), pp. 1021-1033. Date of Electronic Publication: 2024 Aug 27.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101740243 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2522-5839 (Electronic) Linking ISSN: 25225839 NLM ISO Abbreviation: Nat Mach Intell Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features.
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  Data: <searchLink fieldCode="AU" term="%22Carnevali+D%22">Carnevali D</searchLink>; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Zhong+L%22">Zhong L</searchLink>; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22González-Almela+E%22">González-Almela E</searchLink>; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Viana+C%22">Viana C</searchLink>; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Rotkevich+M%22">Rotkevich M</searchLink>; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Wang+A%22">Wang A</searchLink>; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Franco-Barranco+D%22">Franco-Barranco D</searchLink>; Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), Paseo Manuel Lardizabal 1, San Sebastian, Spain.; Donostia International Physics Center (DIPC), San Sebastian, Spain.<br /><searchLink fieldCode="AU" term="%22Gonzalez-Marfil+A%22">Gonzalez-Marfil A</searchLink>; Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), Paseo Manuel Lardizabal 1, San Sebastian, Spain.; Donostia International Physics Center (DIPC), San Sebastian, Spain.<br /><searchLink fieldCode="AU" term="%22Neguembor+MV%22">Neguembor MV</searchLink>; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Castells-Garcia+A%22">Castells-Garcia A</searchLink>; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Arganda-Carreras+I%22">Arganda-Carreras I</searchLink>; Department of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), Paseo Manuel Lardizabal 1, San Sebastian, Spain.; Donostia International Physics Center (DIPC), San Sebastian, Spain.; Ikerbasque, Basque Foundation for Science, Bilbao, Spain.; Biofisika Institute, Barrio Sarrena s/n, Leioa, Spain.<br /><searchLink fieldCode="AU" term="%22Cosma+MP%22">Cosma MP</searchLink>; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.; ICREA, Barcelona, Spain.; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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  Data: <searchLink fieldCode="JN" term="%22101740243%22">Nature machine intelligence</searchLink> [Nat Mach Intell] 2024; Vol. 6 (9), pp. 1021-1033. <i>Date of Electronic Publication: </i>2024 Aug 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101740243 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2522-5839 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225225839%22">25225839 </searchLink><i>NLM ISO Abbreviation: </i>Nat Mach Intell <i>Subsets: </i>PubMed not MEDLINE
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