Exploring potential gene signatures in dengue through machine learning and deep learning approaches.

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Title: Exploring potential gene signatures in dengue through machine learning and deep learning approaches.
Authors: Josyula JVN; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India., Jangili S; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India., Yaladanda N; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India., Pillai AKB; Institute of Advanced Virology, Bio 360 Life Sciences Park, Thonnakkal, Trivandrum, Kerala, 695 317, India., Mutheneni SR; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India. msrinivas@iict.res.in.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. msrinivas@iict.res.in.
Source: Virus genes [Virus Genes] 2026 Feb; Vol. 62 (1), pp. 51-66. Date of Electronic Publication: 2025 Dec 02.
Publication Type: Journal Article
Journal Info: Publisher: Kluwer Academic Country of Publication: United States NLM ID: 8803967 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1572-994X (Electronic) Linking ISSN: 09208569 NLM ISO Abbreviation: Virus Genes Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Exploring potential gene signatures in dengue through machine learning and deep learning approaches.
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  Data: <searchLink fieldCode="AU" term="%22Josyula+JVN%22">Josyula JVN</searchLink>; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.<br /><searchLink fieldCode="AU" term="%22Jangili+S%22">Jangili S</searchLink>; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.<br /><searchLink fieldCode="AU" term="%22Yaladanda+N%22">Yaladanda N</searchLink>; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.<br /><searchLink fieldCode="AU" term="%22Pillai+AKB%22">Pillai AKB</searchLink>; Institute of Advanced Virology, Bio 360 Life Sciences Park, Thonnakkal, Trivandrum, Kerala, 695 317, India.<br /><searchLink fieldCode="AU" term="%22Mutheneni+SR%22">Mutheneni SR</searchLink>; Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India. msrinivas@iict.res.in.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. msrinivas@iict.res.in.
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  Data: <searchLink fieldCode="JN" term="%228803967%22">Virus genes</searchLink> [Virus Genes] 2026 Feb; Vol. 62 (1), pp. 51-66. <i>Date of Electronic Publication: </i>2025 Dec 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Kluwer+Academic%22">Kluwer Academic </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8803967 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1572-994X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209208569%22">09208569 </searchLink><i>NLM ISO Abbreviation: </i>Virus Genes <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11262-025-02204-9
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      – Code: eng
        Text: English
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            NameFull: Josyula JVN
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              Text: 2026 Feb
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              Y: 2026
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