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Repurposing MALDI-TOF MS for effective antibiotic resistance screening in Staphylococcus epidermidis using machine learning

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Many studies have shown that MALDI-TOF MS is not only a faster approach than existing AST methods but also much more cost-effective17. In order...
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StratoMod: predicting sequencing and variant calling errors with interpretable machine learning

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Figure 1 shows the overall approach of StratoMod. For this study, we trained multiple iterations of StratoMod to showcase its ability to predict recall, precision,...
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Importance of OCT-derived biomarkers for the recurrence of central serous chorioretinopathy using statistics and predictive modelling

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In this retrospective study, we employed inferential statistics and multivariate logistic regression to identify several biomarkers associated with CSCR recurrence using clinical images.Imaging has...
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DNASimCLR: a contrastive learning-based deep learning approach for gene sequence data classification | BMC Bioinformatics

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Gene sequence classificationThe rapid advancement in high-throughput sequencing technologies has revolutionized the study of microorganisms, shifting away from reliance solely on cultured cells or...
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The decomposition of perturbation modeling

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The decomposition of perturbation modeling
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