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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| ISSN: | 1660-4601 |
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| DOI: | 10.3390/ijerph23050561 |
