Integrating Phenotypic and Genomic Data with Machine Learning to Predict Antimicrobial Resistance and Identify Genetic Biomarkers in E. coli.
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| Title: | Integrating Phenotypic and Genomic Data with Machine Learning to Predict Antimicrobial Resistance and Identify Genetic Biomarkers in E. coli. |
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| Authors: | Adeyemi SH; Bioinformatics Program, Department of Computer Science, School of Computer Science, Mathematics and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA., Paudel R; Bioinformatics Program, Department of Computer Science, School of Computer Science, Mathematics and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA. |
| Source: | International journal of environmental research and public health [Int J Environ Res Public Health] 2026 Apr 27; Vol. 23 (5). Date of Electronic Publication: 2026 Apr 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42196654 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating Phenotypic and Genomic Data with Machine Learning to Predict Antimicrobial Resistance and Identify Genetic Biomarkers in E. coli. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Adeyemi+SH%22">Adeyemi SH</searchLink>; Bioinformatics Program, Department of Computer Science, School of Computer Science, Mathematics and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA.<br /><searchLink fieldCode="AU" term="%22Paudel+R%22">Paudel R</searchLink>; Bioinformatics Program, Department of Computer Science, School of Computer Science, Mathematics and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101238455%22">International journal of environmental research and public health</searchLink> [Int J Environ Res Public Health] 2026 Apr 27; Vol. 23 (5). <i>Date of Electronic Publication: </i>2026 Apr 27. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101238455 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1660-4601 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216604601%22">16604601 </searchLink><i>NLM ISO Abbreviation: </i>Int J Environ Res Public Health <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42196654 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/ijerph23050561 Languages: – Code: eng Text: English Titles: – TitleFull: Integrating Phenotypic and Genomic Data with Machine Learning to Predict Antimicrobial Resistance and Identify Genetic Biomarkers in E. coli. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Adeyemi SH – PersonEntity: Name: NameFull: Paudel R IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 04 Text: 2026 Apr 27 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1660-4601 Numbering: – Type: volume Value: 23 – Type: issue Value: 5 Titles: – TitleFull: International journal of environmental research and public health Type: main |
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