MetaProViz can analyse standard metabolomics and exometabolomics data (CoRe). It performs pre-processing including feature filtering, missing value imputation, normalisation and outlier detection. It
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R-package to perform metabolomics pre-processing, differential metabolite analysis, metabolite clustering and custom visualisations.
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MetaProViz (Metabolomics Processing, functional analysis and Visualization), a free open-source R-package that provides mechanistic hypotheses from metabolomics data by integrating prior knowledge from literature with metabolomics. MetaProViz offers an interactive framework consisting of five modules: Processing, differential analysis, prior knowledge access and refactoring, functional analysis and visualization of both intracellular and exometabolomics (=consumption-release (CoRe) data). Those modules and their functions can be used independently from each other or in combination (Fig.1).檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
MetaProViz (Metabolomics Processing, functional analysis and Visualization), a free open-source R-package that provides mechanistic hypotheses from metabolomics data by integrating prior knowledge from literature with metabolomics. MetaProViz offers an interactive framework consisting of five modules: Processing, differential analysis, prior knowledge access and refactoring, functional analysis and visualization of both intracellular and exometabolomics (=consumption-release (CoRe) data). Those modules and their functions can be used independently from each other or in combination (Fig.1).檢視完整 README ↗