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11 de abr. de 2018 · We propose a kernel weight based outlier-robust volcano plot for identifying differential metabolites from noisy metabolomics datasets. Two numerical experiments are used to evaluate the performance of the proposed technique against nine existing techniques, including the t-test and the Kruskal-Wallis test.
15 de mar. de 2021 · According to the characteristics of the in vitro 4-MeO-α-PVP metabolite incubation data, we observed the performance of metabolites in the volcano plot, S plot, and plots of the VPPM and VPNPM for the raw concentration data of two groups, 1 μM and 20 μM.
15 de feb. de 2024 · Concretely, this comment asserts that essentially any omics data analysis involving a volcano-plot is concerned –be it transcriptomics, metabolomics, proteomics or any other; either at bulk or...
11 de abr. de 2018 · Results: We propose a kernel weight based outlier-robust volcano plot for identifying differential metabolites from noisy metabolomics datasets. Two numerical experiments are used to evaluate...
Volcano plot of metabolomics data. The x-axis is the mean ratio fold-change (plotted on a log 2 scale) of the relative abundance of each metabolite between the two samples that the user has selected (identical to the ratio plot, Figure 2 ).
The volcano plot tool gives you extensive control to tailor your analysis. This includes adjusting the p-value threshold, selecting key metabolites, and customizing visualizations, thereby facilitating insightful interpretation and hypothesis formation.
Abstract Background The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data...
