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Sepsis Important Genes Identification Through Biologically Informed Deep Learning and Transcriptomic Analysis.

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Title: Sepsis Important Genes Identification Through Biologically Informed Deep Learning and Transcriptomic Analysis.
Authors: Li, Ruichen1,2 (AUTHOR), Wang, Qiushi3 (AUTHOR), Gao, Ru1,2 (AUTHOR), Shen, Rutao4 (AUTHOR), Wang, Qihao1 (AUTHOR), Cui, Xiuliang4 (AUTHOR), Jiang, Zhiming3 (AUTHOR) jiang7708@sina.com, Zhang, Lijie5 (AUTHOR) jellyzhang.ok@163.com, Fang, Jingjing2 (AUTHOR) jjfang@smmu.edu.cn
Source: Clinical & Experimental Pharmacology & Physiology. Jul2025, Vol. 52 Issue 7, p1-10.
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  Data: Sepsis Important Genes Identification Through Biologically Informed Deep Learning and Transcriptomic Analysis.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Ruichen%22">Li, Ruichen</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qiushi%22">Wang, Qiushi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Ru%22">Gao, Ru</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shen%2C+Rutao%22">Shen, Rutao</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qihao%22">Wang, Qihao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Xiuliang%22">Cui, Xiuliang</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Zhiming%22">Jiang, Zhiming</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jiang7708@sina.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lijie%22">Zhang, Lijie</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> jellyzhang.ok@163.com</i><br /><searchLink fieldCode="AR" term="%22Fang%2C+Jingjing%22">Fang, Jingjing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jjfang@smmu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Clinical+%26+Experimental+Pharmacology+%26+Physiology%22">Clinical & Experimental Pharmacology & Physiology</searchLink>. Jul2025, Vol. 52 Issue 7, p1-10.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=s3h&AN=185907259
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      – Type: doi
        Value: 10.1111/1440-1681.70031
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      – Text: English
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      – TitleFull: Sepsis Important Genes Identification Through Biologically Informed Deep Learning and Transcriptomic Analysis.
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              Text: Jul2025
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              Y: 2025
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            – TitleFull: Clinical & Experimental Pharmacology & Physiology
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