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Analysis of expression profiling data suggests explanation for difficulties in finding biomarkers for nasal polyps.
Lee, E J; Gawel, D R; Lilja, S; Li, X; Schäfer, S; Sysoev, O; Zhang, H; Benson, M.
Affiliation
  • Lee EJ; Centre for Personalized Medicine, Linkoping University, Linkoping, Sweden.
  • Gawel DR; Centre for Personalized Medicine, Linkoping University, Linkoping, Sweden.
  • Lilja S; Centre for Personalized Medicine, Linkoping University, Linkoping, Sweden.
  • Li X; Centre for Personalized Medicine, Linkoping University, Linkoping, Sweden.
  • Schäfer S; Centre for Personalized Medicine, Linkoping University, Linkoping, Sweden.
  • Sysoev O; Division of Statistics and Machine Learning, Department of Computer and Information Science, Linkoping University, Sweden.
  • Zhang H; Division of Statistics and Machine Learning, Department of Computer and Information Science, Linkoping University, Sweden.
  • Benson M; Division of Statistics and Machine Learning, Department of Computer and Information Science, Linkoping University, Sweden.
Rhinology ; 58(4): 360-367, 2020 Aug 01.
Article in En | MEDLINE | ID: mdl-32812533
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sinusitis / Rhinitis / Nasal Polyps Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Rhinology Year: 2020 Type: Article Affiliation country: Sweden
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sinusitis / Rhinitis / Nasal Polyps Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Rhinology Year: 2020 Type: Article Affiliation country: Sweden