Abstract
This chapter deals with analytical techniques that are used to probe the activity and chemical makeup of cells. Metabolomics, the study of the entire biochemical constituents of a cell at any one time, is found to provide a rich means of monitoring organism activity. It can reveal explanations for different characteristics of seemingly similar organisms and can be used to relate function with gene. Spectroscopies are well suited to the study and interpretation of the metabolome in functional genomics. Another important technique in functional genomics is the measurement of gene expression via transcriptome arrays. This chapter outlines the various ways in which evolutionary computation (EC) can provide the basis for powerful tools for spectral interpretation and thus for functional genomics. It mentions various methods of forming predictive models from multivariate, often quasi-continuous data. It also discusses ways in which the effectiveness of such conventional techniques may be enhanced by combining them with evolutionary techniques.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
