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CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence.
Zhao, Yue; Pan, Ziwei; Namburi, Sandeep; Pattison, Andrew; Posner, Atara; Balachander, Shiva; Paisie, Carolyn A; Reddi, Honey V; Rueter, Jens; Gill, Anthony J; Fox, Stephen; Raghav, Kanwal P S; Flynn, William F; Tothill, Richard W; Li, Sheng; Karuturi, R Krishna Murthy; George, Joshy.
Afiliación
  • Zhao Y; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA.
  • Pan Z; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA; Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA.
  • Namburi S; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA.
  • Pattison A; Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Parkville, Melbourne, Australia.
  • Posner A; Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Parkville, Melbourne, Australia.
  • Balachander S; Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Parkville, Melbourne, Australia.
  • Paisie CA; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA.
  • Reddi HV; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA; The Jackson Laboratory Cancer Center, Bar Harbor, ME, USA.
  • Rueter J; The Jackson Laboratory Cancer Center, Bar Harbor, ME, USA.
  • Gill AJ; Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, New South Wales 2065 Australia; NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, Sydney, New South Wales 2065 Australia; Department of Anatomical
  • Fox S; Peter MacCallum Cancer Centre, Department of Pathology, University of Melbourne, Victoria, Australia.
  • Raghav KPS; Department of Gastrointestinal Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Flynn WF; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA.
  • Tothill RW; Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Parkville, Melbourne, Australia; Peter MacCallum Cancer Centre, Parkville, Melbourne, Australia. Electronic address: rtothill@unimelb.edu.au.
  • Li S; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA; The Jackson Laboratory Cancer Center, Bar Harbor, ME, USA; Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA; Department of Computer Science and Engineering, U
  • Karuturi RKM; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA; The Jackson Laboratory Cancer Center, Bar Harbor, ME, USA; Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA. Electronic address: krishna.karuturi@jax.org.
  • George J; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA; The Jackson Laboratory Cancer Center, Bar Harbor, ME, USA. Electronic address: joshy.george@jax.org.
EBioMedicine ; 61: 103030, 2020 Nov.
Article en En | MEDLINE | ID: mdl-33039710
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Primarias Desconocidas / Programas Informáticos / ARN / Inteligencia Artificial / Biomarcadores de Tumor / Biología Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: EBioMedicine Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Primarias Desconocidas / Programas Informáticos / ARN / Inteligencia Artificial / Biomarcadores de Tumor / Biología Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: EBioMedicine Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos