Data Analysis

At metaSysX, we offer a comprehensive suite of data analysis services to support your research needs:

Parametric and Non-Parametric Univariate Statistical Tests: We conduct rigorous statistical tests, including t-tests and analysis of variance (ANOVA), to compare groups and identify significant differences in metabolite levels.

Principal Component Analysis (PCA): Our PCA services help reduce the dimensionality of complex datasets, highlighting the most important variables and revealing patterns and trends that might not be immediately apparent.

Clustering Analysis: We provide various clustering analysis techniques to group similar data points and uncover inherent structures within your data. Our services include hierarchical clustering analysis, which builds a tree-like structure of nested clusters, and K-means clustering, which partitions data into distinct groups based on similarities.

Our team of experts uses these advanced analytical techniques to ensure that your data is thoroughly examined and interpreted accurately. By leveraging our extensive experience and state-of-the-art tools, we deliver high-quality, reliable results that can drive your research forward.

• ANOVA
• ttest (p-values)
• Fold-changes
• PCA
• Hierarchical clustering
• Volcano plots
• Heat maps
• Box plots
• Bar plots