The Utility of Resolving Asthma Molecular Signatures Using Tissue-Specific Transcriptome Data.

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作者： Debajyoti,Ghosh ^[1] ; Lili,Ding ^[2] ; Jonathan A,Bernstein ^[1] ; Tesfaye B,Mersha ^[3]

作者单位： Immunology and Allergy, Department of Internal Medicine, University of Cincinnati, OH. ^[1] Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, OH. ^[2] Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, OH tesfaye.mersha@cchmc.org. ^[3]

关键词 Asthma transcriptome Connectivity Map GWAS Catalog ilincs machine learning pathways/networks tissue-specific analysis

主题词哮喘(Asthma);支气管(Bronchi);人类(Humans);白细胞介素13(Interleukin-13);肺(Lung)

DOI 10.1534/g3.120.401718

PMID 32900903

发布时间 2021-06-21

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