Mathematical Phenotypes

Mathematical Phenotypes

Mathematical Phenotypes

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Mathematical phenotypes can define sets of related parts, using decimal repertoire equations or cluster analysis.

Cluster analysis - a mainstay technique of molecular biology - offers an alternative to the simpler change model. It interprets data (control and experimental) and change as mathematical patterns that can be displayed as trees (dendrograms).

In the hippocampus of a Parkinson's patient, what is the mathematical phenotype of neurons?

How does this Parkinson's tree compare to that of the normal? The answer gives us a global view of neurons in health and disease.

What are the relationships of interstitial to type II cells in the lung?

How can these relationships change?

What can we learn by including data from molecular biology in this plot?

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