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Our algorithm uses polynomial models to describe the gene expression patterns over time, a full Bayesian approach with proper conjugate priors to make the algorithm invariant to linear transformations, and an iterative procedure to identify genes that have a common temporal expression profile across two or more experimental conditions, and genes that have a unique temporal profile in a specific condition.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>We use simulated data to evaluate the effectiveness of this new algorithm in finding the correct number of clusters and in identifying genes with common and unique profiles. We also use the algorithm to characterize the response of human T cells to stimulations of antigen-receptor signaling gene expression temporal profiles measured in six different biological conditions and we identify common and unique genes. These studies suggest that the methodology proposed here is useful in identifying and distinguishing uniquely stimulated genes from commonly stimulated genes in response to variable stimuli. Software for using this clustering method is available from the project home page.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-9-147","type":"journal-article","created":{"date-parts":[[2008,3,11]],"date-time":"2008-03-11T20:52:52Z","timestamp":1205268772000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Conditional clustering of temporal expression profiles"],"prefix":"10.1186","volume":"9","author":[{"given":"Ling","family":"Wang","sequence":"first","affiliation":[]},{"given":"Monty","family":"Montano","sequence":"additional","affiliation":[]},{"given":"Matt","family":"Rarick","sequence":"additional","affiliation":[]},{"given":"Paola","family":"Sebastiani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,3,11]]},"reference":[{"key":"2132_CR1","doi-asserted-by":"publisher","first-page":"10101","DOI":"10.1073\/pnas.97.18.10101","volume":"97","author":"O Alter","year":"2000","unstructured":"Alter O, Brown PO, Botstein D: Singular value decomposition for genome-wide expression data processing and modeling. 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