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

BMC Genomics

Volumn 19, Issue , 2018, Pages

  Choi, Yoonha ^a   Liu, Tiffany Ting ^a   Pankratz, Daniel G ^a   Colby, Thomas V ^b   Barth, Neil M ^a   Lynch, David A ^c   Walsh, P Sean ^a   Raghu, Ganesh ^d   Kennedy, Giulia C ^a   Huang, Jing ^a  

^a Veracyte Inc   (United States)

^b MAYO CLINIC   (United States)

^c DEPARTMENT OF MEDICINE   (United States)

^d UNIVERSITY OF WASHINGTON MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CLASSIFIER; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; FIBROSING ALVEOLITIS; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; HUMAN; HUMAN TISSUE; INTERSTITIAL PNEUMONIA; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; OVERLAPPING GENE; PREVALENCE; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; RNA SEQUENCE; SENSITIVITY AND SPECIFICITY; TRANSBRONCHIAL BIOPSY; AREA UNDER THE CURVE; BIOLOGY; BIOPSY; COMPUTER SIMULATION; DIFFERENTIAL DIAGNOSIS; GENETIC PREDISPOSITION; GENETICS; MACHINE LEARNING; PROCEDURES; SEQUENCE ANALYSIS; STATISTICAL MODEL;

AREA UNDER CURVE; BIOPSY; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DIAGNOSIS, DIFFERENTIAL; GENETIC PREDISPOSITION TO DISEASE; HUMANS; IDIOPATHIC INTERSTITIAL PNEUMONIAS; IDIOPATHIC PULMONARY FIBROSIS; LOGISTIC MODELS; MACHINE LEARNING; PROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, RNA;

EID: 85039797581     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-018-4467-6     Document Type: Article

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