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Identification of Conserved Gene Expression Signature and Potential Therapeutic Target in Severe Malaria Through Differentially Expressed Genes (DEGs) and Machine Learning Prediction.

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Title: Identification of Conserved Gene Expression Signature and Potential Therapeutic Target in Severe Malaria Through Differentially Expressed Genes (DEGs) and Machine Learning Prediction.
Authors: Suryandari, Dwi Anita1, dwi.anita@ui.ac.id, Tedjo, Aryo2,3,4, Asih, Puji Budi Setia3,5, Syafruddin, Din4,6, Fadilah, Fadilah2,3,5
Source: Applied Biosciences; Jun2026, Vol. 5 Issue 2, p49, 19p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 194941895
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PubType: Academic Journal
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  Data: Identification of Conserved Gene Expression Signature and Potential Therapeutic Target in Severe Malaria Through Differentially Expressed Genes (DEGs) and Machine Learning Prediction.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Biosciences%22">Applied Biosciences</searchLink>; Jun2026, Vol. 5 Issue 2, p49, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194941895
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        Value: 10.3390/applbiosci5020049
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 49
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      – TitleFull: Identification of Conserved Gene Expression Signature and Potential Therapeutic Target in Severe Malaria Through Differentially Expressed Genes (DEGs) and Machine Learning Prediction.
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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