Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therape...
Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome
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Author / Creator
Zhang, Hao , Hu, Fangyu , Peng, Ouyang , Huang, Yihui , Hu, Guangli , Ashraf, Usama , Cen, Meifeng , Wang, Xiaojuan , Xu, Qiuping , Zou, Chuangchao , Wu, Yu , Zhu, Bibo , Li, Wentao , Li, Qunhui , Li, Chujun , Xue, Chunyi and Cao, Yongchang
Publisher
Germany: John Wiley & Sons, Inc
Journal title
Language
English
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Publisher
Germany: John Wiley & Sons, Inc
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Scope and Contents
Contents
As a significant infectious disease in livestock, porcine reproductive and respiratory syndrome (PRRS) imposes substantial economic losses on the swine industry. Identification of diagnostic markers and therapeutic targets has been a focal challenge in PPRS prevention and control. By integrating metabolomic and lipidomic serum analyses of clinical...
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Full title
Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ee38c485bd984957962a88528543baff
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ee38c485bd984957962a88528543baff
Other Identifiers
ISSN
2198-3844
E-ISSN
2198-3844
DOI
10.1002/advs.202402025
