Statistics Toolbox for Study: ST003036

Title: Identifying and mathematically modeling the time-course of extracellular metabolic markers associated with resistance to ceftolozane/tazobactam in Pseudomonas aeruginosa - Part 2

Select a dataset:

Run analyses on data in Study ST003036 Dataset: HILIC POSITIVE ION MODE

Metabolite structures and classes (all analyses combined)

Normalization and averaging

Univariate analysis

Clustering and correlation

Multivariate analysis

Classification and feature analysis

MetaBatch Omic Browser (MD Anderson Cancer Center)

(Clustered Heat Maps, PCA+, UMAP, box plot, violin plot, and other visualizations)

MetENP: Metabolite enrichment and species-specific pathway annotation

Mapping metabolites to human biochemical pathways

  • Not applicable (non-mammalian)
  logo