The following tutorial will cover how to create a statistical analysis and machine learning integrated biochemical, structural similarity and correlation network.
Topics
Multivariate exploratory analysis and visualization - identify or review your data analysis plan
Create, validate and visualize classification and regression machine learning predictive models
Calculate biochemical and empirical networks
Use network mapping to integrate data analysis results and create a publication quality network visualization
Tutorials
Preparing raw data for analysis
Multivariate data exploration
Supervised clustering
Machine learning – regression, classification, model validation and feature selection
Network analysis - biochemical, structural similarity and correlation networks
