A functional genomic model for predicting prognosis in idiopathic pulmonary fibrosis

BACKGROUND: The course of disease for patients with idiopathic pulmonary fibrosis (IPF) is highly heterogeneous. Prognostic models rely on demographic and clinical characteristics and are not reproducible. Integrating data from genomic analyses may identify novel prognostic models and provide mechan...

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Detalles Bibliográficos
Autores principales: Huang, Yong, Ma, Shwu-Fan, Vij, Rekha, Oldham, Justin M., Herazo-Maya, Jose, Broderick, Steven M., Strek, Mary E., White, Steven R., Hogarth, D. Kyle, Sandbo, Nathan K., Lussier, Yves A., Gibson, Kevin F., Kaminski, Naftali, Garcia, Joe G. N., Noth, Imre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654815/
https://www.ncbi.nlm.nih.gov/pubmed/26589497
http://dx.doi.org/10.1186/s12890-015-0142-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654815/
https://www.ncbi.nlm.nih.gov/pubmed/26589497
http://dx.doi.org/10.1186/s12890-015-0142-8

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