Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms

AUTOR(ES)

Alter, Orly

FONTE

National Academy of Sciences

RESUMO

We describe a comparative mathematical framework for two genome-scale expression data sets. This framework formulates expression as superposition of the effects of regulatory programs, biological processes, and experimental artifacts common to both data sets, as well as those that are exclusive to one data set or the other, by using generalized singular value decomposition. This framework enables comparative reconstruction and classification of the genes and arrays of both data sets. We illustrate this framework with a comparison of yeast and human cell-cycle expression data sets.

Documentos Relacionados

• Comparative Analysis of Multiple Genome-Scale Data Sets
• Genome-Scale Analysis of the Uses of the Escherichia coli Genome: Model-Driven Analysis of Heterogeneous Data Sets
• Microarray Analysis: Genome-scale hypothesis scanning
• Reconciling Gene Expression Data With Known Genome-Scale Regulatory Network Structures
• Singular value decomposition for genome-wide expression data processing and modeling