EDA

EDA is a package for the Datagrok platform. It provides the following exploratory data analysis and machine learning tools:

• Dimensionality reduction
  • Principal component analysis (PCA)
  • Uniform manifold approximation and projection (UMAP)
  • t-distributed stochastic neighbor embedding (t-SNE)
  • Stochastic proximity embedding (SPE)
• Multivariate analysis
  • Partial least squares regression (PLS)
  • Quadratic PLS regression
• Supervised machine learning
  • Linear regression
  • Softmax classifier
  • PLS regression
  • Gradient Boosting
• Group comparison
  • Two-sample t-test (Welch and Student)
  • One-way analysis of variances (ANOVA)
  • Control comparisons against a single control (Dunnett's test and Holm-corrected Welch's t-tests)
• Missing data imputation
  • k-nearest neighbors method (KNN)
• Multi-objective optimization
  • Pareto front viewer
  • Probabilistic MPO