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

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

Abstract 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...

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Bibliographic Details
Main Authors: Yoonha Choi, Tiffany Ting Liu, Daniel G. Pankratz, Thomas V. Colby, Neil M. Barth, David A. Lynch, P. Sean Walsh, Ganesh Raghu, Giulia C. Kennedy, Jing Huang
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Genomics
Online Access:http://link.springer.com/article/10.1186/s12864-018-4467-6

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http://link.springer.com/article/10.1186/s12864-018-4467-6

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