Exploratory Analysis

Exploratory Analysis

Understanding the structure of a data set and the variables influencing this structure is a prudent starting point for any analysis, in particular when working with data influenced by the sample fixation method, such as FFPE, or other technical factors.

Almac has developed an advanced workflow allowing the visualisation and navigation of the main components of a high dimensional data set and thus understanding their relationships with available biological parameters (clinical or sample) and technical variables. Through the use of this workflow Almac can establish and quantify the significance of relationships between biological and technical parameters. This sample-wide exploration is an interactive, visually rich and  transparent means of discovering and quantifying the main influences with a data set, enabling appropriate adjustments to be made, such as sample balancing or filtering to remove unwanted technical factor influence, prior to continuing with further analysis.

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