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Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jbio.200810068openalex-snapshot
Direct analysis of clinical relevant single bacterial cells from cerebrospinal fluid during bacterial meningitis by means of micro‐Raman spectroscopy
inferredcites →https://doi.org/10.1002/lapl.200810011openalex-snapshot
Raman spectroscopy for rapid discrimination of Staphylococcus epidermidis clones related to medical device-associated infections
inferredcites →https://doi.org/10.1002/mbo3.1122openalex-snapshot
Raman spectra‐based deep learning: A tool to identify microbial contamination
inferredcites →https://doi.org/10.1007/s00216-012-6225-yopenalex-snapshot
Surface-enhanced Raman scattering (SERS) revealing chemical variation during biofilm formation: from initial attachment to mature biofilm
inferredcites →https://doi.org/10.1007/s00216-015-9031-5openalex-snapshot
Raman spectroscopic monitoring of the growth of pigmented and non-pigmented mycobacteria
inferredcites →https://doi.org/10.1007/s00604-018-3150-6openalex-snapshot
Surface-enhanced Raman scattering method for the identification of methicillin-resistant Staphylococcus aureus using positively charged silver nanoparticles
inferredcites →https://doi.org/10.1007/s10103-020-03028-9openalex-snapshot
Biochemical characterization of pathogenic bacterial species using Raman spectroscopy and discrimination model based on selected spectral features
inferredcites →https://doi.org/10.1007/s11418-017-1144-zopenalex-snapshot
Enzyme-linked immunosorbent assay for the quantitative/qualitative analysis of plant secondary metabolites
inferredcites →https://doi.org/10.1016/j.critrevonc.2009.09.004openalex-snapshot
Identification of Raman spectroscopic markers for the characterization of normal and adenocarcinomatous colonic tissues
inferredcites →https://doi.org/10.1016/j.saa.2014.08.155openalex-snapshot
Effect of toxicity of Ag nanoparticles on SERS spectral variance of bacteria
inferredcites →https://doi.org/10.1016/j.trac.2019.115796openalex-snapshot
Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering
inferredcites →https://doi.org/10.1016/j.vibspec.2011.08.003openalex-snapshot
Raman spectroscopy: Recent advancements, techniques and applications
inferredcites →https://doi.org/10.1016/j.vibspec.2016.07.017openalex-snapshot
Multimodal vibrational imaging of cells
inferredcites →https://doi.org/10.1021/acs.analchem.9b04946openalex-snapshot
Combination of an Artificial Intelligence Approach and Laser Tweezers Raman Spectroscopy for Microbial Identification
inferredcites →https://doi.org/10.1038/s41467-019-12898-9openalex-snapshot
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
inferredcites →https://doi.org/10.1038/s41598-017-13940-wopenalex-snapshot
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inferredcites →https://doi.org/10.1038/s41598-020-58848-0openalex-snapshot
Contribution of Raman Spectroscopy to Diagnosis and Grading of Chondrogenic Tumors
inferredcites →https://doi.org/10.1038/s41598-021-85758-6openalex-snapshot
Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer
inferredcites →https://doi.org/10.1039/c8an02177eopenalex-snapshot
Surface-enhanced Raman spectroscopy of microorganisms: limitations and applicability on the single-cell level
inferredcites →https://doi.org/10.1039/c9ra00327dopenalex-snapshot
Weighted spectral reconstruction method for discrimination of bacterial species with low signal-to-noise ratio Raman measurements
inferredcites →https://doi.org/10.1039/d0an00476fopenalex-snapshot
Identification of methicillin-resistant Staphylococcus aureus bacteria using surface-enhanced Raman spectroscopy and machine learning techniques
inferredcites →https://doi.org/10.1039/d0sc00809eopenalex-snapshot
Surface-enhanced Raman spectroscopy: benefits, trade-offs and future developments
inferredcites →https://doi.org/10.1073/pnas.1707408114openalex-snapshot
Limitations and challenges of using Raman spectroscopy to detect the abiotic plant stress response
inferredcites →https://doi.org/10.1080/01621459.1971.10482356openalex-snapshot
Objective Criteria for the Evaluation of Clustering Methods
inferredcites →https://doi.org/10.1088/1612-2011/12/4/045602openalex-snapshot
Detection and identification of Huo–Xue–Hua–Yu decoction (HXHYD) using surface-enhanced Raman scattering (SERS) spectroscopy and multivariate analysis
inferredcites →https://doi.org/10.1111/1469-0691.12217openalex-snapshot
Rapid bacterial genome sequencing: methods and applications in clinical microbiology
inferredcites →https://doi.org/10.1117/1.jbo.20.4.047002openalex-snapshot
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inferredcites →https://doi.org/10.1128/aem.00924-20openalex-snapshot
Arcobacter Identification and Species Determination Using Raman Spectroscopy Combined with Neural Networks
inferredcites →https://doi.org/10.1177/0003702817703270openalex-snapshot
Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review
inferredcites →https://doi.org/10.1177/0003702818764672openalex-snapshot
Surface-Enhanced Raman Scattering (SERS) in Microbiology: Illumination and Enhancement of the Microbial World
inferredcites →https://doi.org/10.1177/0003702818791939openalex-snapshot
Application of Vibrational Spectroscopy and Imaging to Point-of-Care Medicine: A Review
inferredcites →https://doi.org/10.1183/09031936.05.00050305openalex-snapshot
Nonconventional and new methods in the diagnosis of tuberculosis: feasibility and applicability in the field
inferredcites →https://doi.org/10.1186/s11671-019-3039-2openalex-snapshot
Raman Techniques: Fundamentals and Frontiers
inferredcites →https://doi.org/10.1186/s12934-017-0849-8openalex-snapshot
Using Raman spectroscopy and chemometrics to identify the growth phase of Lactobacillus casei Zhang during batch culture at the single-cell level
inferredcites →https://doi.org/10.1186/s13059-019-1689-0openalex-snapshot
Machine learning and complex biological data
inferredcites →https://doi.org/10.1371/journal.pone.0146668openalex-snapshot
Staphylococcus aureus and Staphylococcus epidermidis Virulence Strains as Causative Agents of Persistent Infections in Breast Implants
inferredcites →https://doi.org/10.3389/fcimb.2012.00066openalex-snapshot
The Staphylococci and Staphylococcal Pathogenesis
inferredcites →https://doi.org/10.3389/fmicb.2018.02857openalex-snapshot
Surface-Enhanced Raman Scattering (SERS) With Silver Nano Substrates Synthesized by Microwave for Rapid Detection of Foodborne Pathogens
inferredcites →https://doi.org/10.3389/fmicb.2021.683580openalex-snapshot
Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings
inferredcites →https://doi.org/10.3390/bios6040057openalex-snapshot
Different Phases of Breast Cancer Cells: Raman Study of Immortalized, Transformed, and Invasive Cells
inferredcites →https://doi.org/10.3390/jsan8040056openalex-snapshot
Introducing and Comparing Recent Clustering Methods for Massive Data Management in the Internet of Things
inferredcites →https://doi.org/10.3390/molecules24244516openalex-snapshot
A Machine Learning-Based Raman Spectroscopic Assay for the Identification of Burkholderia mallei and Related Species
inferredcites →https://doi.org/10.3390/nano10091748openalex-snapshot
Introducing the Novel Mixed Gaussian-Lorentzian Lineshape in the Analysis of the Raman Signal of Biochar
inferredcites →https://doi.org/10.3390/s100402869openalex-snapshot
Discriminant Analysis of Raman Spectra for Body Fluid Identification for Forensic Purposes
inferredcites →https://doi.org/10.4137/bbi.s38316openalex-snapshot
Clustering Algorithms: Their Application to Gene Expression Data
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1704.01036openalex-snapshot
Natural Scales in Geographical Patterns
inferredcites →https://doi.org/10.5772/intechopen.71573openalex-snapshot
Recent Developments on Metal Nanoparticles for SERS Applications
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1016/j.microc.2023.108539openalex-snapshot
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