Abstract
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.
MeSH Terms
Cell Cycle/genetics
Data Interpretation, Statistical
Databases, Genetic
Gene Expression Profiling/statistics & numerical data
Genes, Fungal/drug effects
Genomics/statistics & numerical data
Humans
Oligonucleotide Array Sequence Analysis/statistics & numerical data
Pheromones/pharmacology
RNA, Fungal/genetics,metabolism
RNA, Messenger/genetics,metabolism
Saccharomyces cerevisiae/cytology,genetics,metabolism
Stress, Physiological/genetics
Chemicals
Pheromones
RNA, Fungal
RNA, Messenger
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Brown Patrick O
Botstein David
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11 references, click to expand
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