An Overview of Unsupervised Search Strategies

The above limitations have motivated the development of automated approaches for identifying intrinsic relationships between different genes and physiologic conditions. In the most basic form such unsupervised clustering approaches (Kohonen, 1997) take a broad set of expression experiments designed in aggregate to elicit most if not all of 

Recently, Alter and coworkers and Holter and coworkers independently applied SVD analysis to previously described data on the yeast cell cycle (Alter et al., 2000 Holter et al., 2000). In those experiments mRNA levels as a function of cell cycle were determined by synchronizing 

UPR as a Case Study in the Comparison of Supervised versus Unsupervised Searches 

Distribution of UPR Targets within a Clustered Data Set Focused on Cell Cycle Changes and Stress Treatments 

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