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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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Title: Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome.
Authors: Zhang, Hao1 (AUTHOR), Hu, Fangyu1 (AUTHOR), Peng, Ouyang1 (AUTHOR), Huang, Yihui1 (AUTHOR), Hu, Guangli1 (AUTHOR), Ashraf, Usama2 (AUTHOR), Cen, Meifeng3 (AUTHOR), Wang, Xiaojuan3 (AUTHOR), Xu, Qiuping4 (AUTHOR), Zou, Chuangchao1 (AUTHOR), Wu, Yu1,5 (AUTHOR), Zhu, Bibo6,7,8 (AUTHOR), Li, Wentao6,7,8 (AUTHOR), Li, Qunhui5 (AUTHOR), Li, Chujun1 (AUTHOR), Xue, Chunyi1 (AUTHOR), Cao, Yongchang1 (AUTHOR) caoych@mail.sysu.edu.cn
Source: Advanced Science. 9/11/2024, Vol. 11 Issue 34, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: 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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  Data: <searchLink fieldCode="JN" term="%22Advanced+Science%22">Advanced Science</searchLink>. 9/11/2024, Vol. 11 Issue 34, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179944312
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              Text: 9/11/2024
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