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SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses.
Lee, Alexandra J; Mould, Dallas L; Crawford, Jake; Hu, Dongbo; Powers, Rani K; Doing, Georgia; Costello, James C; Hogan, Deborah A; Greene, Casey S.
Afiliación
  • Lee AJ; Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Mould DL; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
  • Crawford J; Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Hu D; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Powers RK; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA.
  • Doing G; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
  • Costello JC; Department of Pharmacology, University of Colorado School of Medicine, Denver, CO 80045, USA.
  • Hogan DA; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
  • Greene CS; Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Health AI, University of Colorado School of Medicine, Denver, CO 80045, USA; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medi
Genomics Proteomics Bioinformatics ; 20(5): 912-927, 2022 10.
Article en En | MEDLINE | ID: mdl-36216026

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Transcriptoma Límite: Humans Idioma: En Revista: Genomics Proteomics Bioinformatics Asunto de la revista: BIOQUIMICA / GENETICA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Transcriptoma Límite: Humans Idioma: En Revista: Genomics Proteomics Bioinformatics Asunto de la revista: BIOQUIMICA / GENETICA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos