Identification of Salt-Sensitive and Salt-Tolerant Genes through Weighted Gene Co-Expression Networks across Multiple Datasets: A Centralization and Differential Correlation Analysis.

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Title: Identification of Salt-Sensitive and Salt-Tolerant Genes through Weighted Gene Co-Expression Networks across Multiple Datasets: A Centralization and Differential Correlation Analysis.
Authors: Sonsungsan P; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand., Suratanee A; Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand., Buaboocha T; Center of Excellence in Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand., Chadchawan S; Center of Excellence in Environment and Plant Physiology (CEEPP), Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand., Plaimas K; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.; Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Source: Genes [Genes (Basel)] 2024 Feb 28; Vol. 15 (3). Date of Electronic Publication: 2024 Feb 28.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101551097 Publication Model: Electronic Cited Medium: Internet ISSN: 2073-4425 (Electronic) Linking ISSN: 20734425 NLM ISO Abbreviation: Genes (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Identification of Salt-Sensitive and Salt-Tolerant Genes through Weighted Gene Co-Expression Networks across Multiple Datasets: A Centralization and Differential Correlation Analysis.
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  Data: <searchLink fieldCode="AU" term="%22Sonsungsan+P%22">Sonsungsan P</searchLink>; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand.<br /><searchLink fieldCode="AU" term="%22Suratanee+A%22">Suratanee A</searchLink>; Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.<br /><searchLink fieldCode="AU" term="%22Buaboocha+T%22">Buaboocha T</searchLink>; Center of Excellence in Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.<br /><searchLink fieldCode="AU" term="%22Chadchawan+S%22">Chadchawan S</searchLink>; Center of Excellence in Environment and Plant Physiology (CEEPP), Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.<br /><searchLink fieldCode="AU" term="%22Plaimas+K%22">Plaimas K</searchLink>; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.; Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
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  Data: <searchLink fieldCode="JN" term="%22101551097%22">Genes</searchLink> [Genes (Basel)] 2024 Feb 28; Vol. 15 (3). <i>Date of Electronic Publication: </i>2024 Feb 28.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101551097 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2073-4425 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220734425%22">20734425 </searchLink><i>NLM ISO Abbreviation: </i>Genes (Basel) <i>Subsets: </i>MEDLINE
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        Value: 10.3390/genes15030316
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        Text: English
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      – TitleFull: Identification of Salt-Sensitive and Salt-Tolerant Genes through Weighted Gene Co-Expression Networks across Multiple Datasets: A Centralization and Differential Correlation Analysis.
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