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

Lee, E J; Gawel, D R; Lilja, S; Li, X; Schäfer, S; Sysoev, O; Zhang, H; Benson, M.

Afiliação

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 em En | MEDLINE | ID: mdl-32812533

Assuntos

Pólipos Nasais; Rinite; Sinusite; Biomarcadores; Doença Crônica; Humanos; Pólipos Nasais/genética; Rinite/genética; Transdução de Sinais; Sinusite/genética; Transcriptoma

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sinusite / Rinite / Pólipos Nasais Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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