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Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions

BACKGROUND: We developed a classifier using RNA sequencing data that identifies the usual interstitial pneumonia (UIP) pattern for the diagnosis of idiopathic pulmonary fibrosis. We addressed significant challenges, including limited sample size, biological and technical sample heterogeneity, and re...

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Bibliographische Detailangaben
Veröffentlicht in:BMC Genomics
Hauptverfasser: Choi, Yoonha, Liu, Tiffany Ting, Pankratz, Daniel G., Colby, Thomas V., Barth, Neil M., Lynch, David A., Walsh, P. Sean, Raghu, Ganesh, Kennedy, Giulia C., Huang, Jing
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2018
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5954282/
https://ncbi.nlm.nih.gov/pubmed/29764379
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-018-4467-6
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