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Modeling bi-modality improves characterization of cell cycle on gene expression in single cells.
McDavid, Andrew; Dennis, Lucas; Danaher, Patrick; Finak, Greg; Krouse, Michael; Wang, Alice; Webster, Philippa; Beechem, Joseph; Gottardo, Raphael.
Affiliation
  • McDavid A; Department of Statistics, University of Washington, Seattle, Washington, United States of America; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
  • Dennis L; NanoString Technologies, Seattle, Washington, United States of America.
  • Danaher P; NanoString Technologies, Seattle, Washington, United States of America.
  • Finak G; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
  • Krouse M; NanoString Technologies, Seattle, Washington, United States of America.
  • Wang A; BD Biosciences, San Jose, California, United States of America.
  • Webster P; NanoString Technologies, Seattle, Washington, United States of America.
  • Beechem J; NanoString Technologies, Seattle, Washington, United States of America.
  • Gottardo R; Department of Statistics, University of Washington, Seattle, Washington, United States of America; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
PLoS Comput Biol ; 10(7): e1003696, 2014 Jul.
Article in En | MEDLINE | ID: mdl-25032992
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Full text: 1 Database: MEDLINE Main subject: Gene Expression / Cell Cycle / Computational Biology / Models, Genetic Type of study: Prognostic_studies Limits: Humans Language: En Year: 2014 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Gene Expression / Cell Cycle / Computational Biology / Models, Genetic Type of study: Prognostic_studies Limits: Humans Language: En Year: 2014 Type: Article