A machine learning-based strategy to elucidate the identification of antibiotic resistance in bacteria.

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Bibliographic Details
Title:	A machine learning-based strategy to elucidate the identification of antibiotic resistance in bacteria.
Authors:	Parthasarathi KTS; Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.; Institute of Bioinformatics, Bangalore, India., Gaikwad KB; Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.; Institute of Bioinformatics, Bangalore, India., Rajesh S; Institute of Bioinformatics, Bangalore, India., Rana S; Division of Biomedical Informatics, Indian Council of Medical Research, New Delhi, India., Pandey A; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.; Center for Individualized Medicine, Mayo Clinic, Rochester, MN, United States., Singh H; Division of Biomedical Informatics, Indian Council of Medical Research, New Delhi, India., Sharma J; Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.; Institute of Bioinformatics, Bangalore, India.
Source:	Frontiers in antibiotics [Front Antibiot] 2024 Jun 18; Vol. 3, pp. 1405296. Date of Electronic Publication: 2024 Jun 18 (Print Publication: 2024).
Publication Type:	Journal Article
Journal Info:	Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9918557185706676 Publication Model: eCollection Cited Medium: Internet ISSN: 2813-2467 (Electronic) Linking ISSN: 28132467 NLM ISO Abbreviation: Front Antibiot Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2813-2467
DOI:	10.3389/frabi.2024.1405296