Employing a synergistic bioinformatics and machine learning framework to elucidate biomarkers associ...
Employing a synergistic bioinformatics and machine learning framework to elucidate biomarkers associating asthma with pyrimidine metabolism genes
About this item
Full title
Author / Creator
Zhang, Dihui , Pu, Xiaowei , Zheng, Man , Li, Guanghui and Chen, Jia
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Asthma, a prevalent chronic inflammatory disorder, is shaped by a multifaceted interplay between genetic susceptibilities and environmental exposures. Despite strides in deciphering its pathophysiological landscape, the intricate molecular underpinnings of asthma remain elusive. The focus has increasingly shifted toward the metabolic aberrations ac...
Alternative Titles
Full title
Employing a synergistic bioinformatics and machine learning framework to elucidate biomarkers associating asthma with pyrimidine metabolism genes
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2b27c875bfa944318bce9fb09e9c484c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b27c875bfa944318bce9fb09e9c484c
Other Identifiers
ISSN
1465-993X,1465-9921
E-ISSN
1465-993X
DOI
10.1186/s12931-024-02954-4
