Decision Trees Component Collection for the SciTegic Platform

The Decision Trees Collection provides components for the construction, validation, and deployment of recursive partitioning models. Using ArborPharm™ technology from NovoDynamics^® (www.novodynamics.com), these components work with both continuous and binary descriptors, such as molecular structure fingerprints. This method is ideal for mining large discovery data sets like those from high throughput screening.

With the Decision Trees Collection you can:

• Model huge volumes of data with massive descriptor sets
• Learn the importance of each descriptor to the response (such as activity)
• Screen compound collections or virtual libraries with predictive models
• Deploy self-contained validated models to a broad audience