Subtypes Discovery

Subtypes Discovery

The structure of a data set is defined by the underlying relationships between samples and features. At Almac we utilise our proprietary subtype’s discovery workflow to establish and explore these relationships.

This workflow enables a robust and objective means of identifying subtypes through the use of resampling techniques and statistics to identify the optimal number of partitions/clusters in the data. Additionally the workflow allows further exploration of the identified subtypes by discovering the association of relevant sample parameters with sample clusters and association of feature clusters with functional processes and pathways. Identified subtypes can be further developed through integration with the signature generation workflow. Application of the full workflow or elements of the workflow will significantly enhance your understanding of the studied population.

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