Metaboanalyst Domain Overview🔒 SSL Verified

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• ↓ Authority Metrics: Score 58/100
• ↓ Global Reach of Metaboanalyst
• ↓ Competitor Analysis for .CA Domains
• ↓ Top Alternatives to metaboanalyst.ca

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"MetaboAnalyst is a web-based platform dedicated for comprehensive metabolomics data analysis, interpretation and integration with other omics data. Over the past decade, MetaboAnalyst has evolved from statistical and functional analysis for targeted metabolomics data, towards more streamlined analysis for both quantitative and untargeted metabolomics data. In addition to many feature enhancements, the version 6.0 contains three new modules - tandem MS spectral processing and compound annotation, dose response analysis for chemical risk assessment, and leveraging metabolite-genome wide association analysis and Mendelian randomization for causal analysis."

"The module provides a wide array of commonly used statistical and machine learning methods: traditional univariate methods - fold change, t-test, volcano plot, ANOVA, correlation analysis; or more advanced methods designed for significance analysis of high-dimensional data, and empirical Bayesian analysis; multivariate statistics - principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) or orthogonal partial least squares-discriminant analysis (OPLS-DA); clustering - dendrogram, heatmap, K-means, and self organizing map (SOM); as well as supervised classification - random forests and support vector machine (SVM)."

"MetaboAnalyst now allows users to visualize and compute associations between phenotypes and metabolomics features with considerations of other experimental factors / covariates. It employs general linear models to accommodate modern epidemiological study, together with PCA and heatmaps for visual explorations. For two-factors / time-series data, users have more options including two-way ANOVA, multivariate empirical Bayes time-series analysis (MEBA), and ANOVA-simultaneous component analysis (ASCA)."

"MetaboAnalyst provides the receiver operating characteristic (ROC) curve based approach for identifying potential biomarkers and evaluating their performance. It offers classical univariate ROC curve analysis as well as more modern multivariate ROC curve analysis based on PLS-DA, SVM or Random Forests. In addition, users can manually select biomarkers or set up hold-out samples for flexible evaluation and validation."

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Authority Metrics: Score 58/100

Global Reach of Metaboanalyst

Competitor Analysis for .CA Domains