Integration of multi-omics datasets enables molecular classification of COPD

European Respiratory Journal

Volumn 51, Issue 5, 2018, Pages

  Li, Chuan Xing ^a   Wheelock, Craig E ^a   Magnus Skold C ^a,b   Wheelock, Åsa M ^a  

^a KAROLINSKA INSTITUTE   (Sweden)

^b KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; MICRORNA; PROTEOME;

ADULT; AGED; ARTICLE; CHRONIC OBSTRUCTIVE LUNG DISEASE; COHORT ANALYSIS; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; FEMALE; GENETIC DATABASE; HUMAN; HUMAN CELL; MATHEMATICAL ANALYSIS; METABOLITE; MIDDLE AGED; MOLECULAR DIAGNOSIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIMILARITY NETWORK FUSION; SMOKING; SPIROMETRY; BIOLOGICAL VARIATION; BRONCHOALVEOLAR LAVAGE FLUID; CLASSIFICATION; GENETICS; LUNG ALVEOLUS EPITHELIUM CELL; LUNG FUNCTION TEST; MEASUREMENT ACCURACY; METABOLISM; METABOLOME; PATHOLOGY; PROCEDURES; PROTEOMICS; STATISTICS AND NUMERICAL DATA; SWEDEN;

ALVEOLAR EPITHELIAL CELLS; BIOLOGICAL VARIATION, POPULATION; BRONCHOALVEOLAR LAVAGE FLUID; CROSS-SECTIONAL STUDIES; DATA ACCURACY; FEMALE; HUMANS; METABOLOME; MICRORNAS; MIDDLE AGED; NON-SMOKERS; PROTEOME; PROTEOMICS; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RESPIRATORY FUNCTION TESTS; SMOKERS; SMOKING; SWEDEN;

EID: 85047322065     PISSN: 09031936     EISSN: 13993003     Source Type: Journal    
DOI: 10.1183/13993003.01930-2017     Document Type: Article

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