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dc.contributor.authorWang, Hsiuyingen_US
dc.contributor.authorWang, Yu-Hanen_US
dc.contributor.authorWu, Wei-Shengen_US
dc.date.accessioned2014-12-08T15:26:19Z-
dc.date.available2014-12-08T15:26:19Z-
dc.date.issued2011-10-10en_US
dc.identifier.issn0378-1119en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.gene.2011.06.001en_US
dc.identifier.urihttp://hdl.handle.net/11536/18695-
dc.description.abstractIdentifying cell cycle transcription factors (TFs) is important for understanding the transcriptional regulation of the cell cycle process which controls the growth and development of all organisms. Existing computational approaches for identifying cell cycle TFs are mainly based on methods with a fixed selection criterion. That is, the same criterion was applied to each TF to determine whether it is a cell cycle TF or not. Since the characteristic of each TF may be quite different, it is not suitable to use a fixed selection criterion in identifying cell cycle TFs. Instead of using a fixed selection criterion, we propose a method with variable selection criteria to identify cell cycle TFs in yeast by integrating the ChIP-chip and cell cycle gene expression data. Our method is shown to outperform five existing methods which used the same ChIP-chip dataset as we did. Fifteen cell cycle TFs were identified by our approach, 12 of which are known cell cycle TFs, while the remaining three (Hap4, Reb1 and Tye7) are novel cell cycle TFs. The biological significance of our predictions is shown by four lines of indirect evidence derived from the protein-protein interaction data, TF mutant data, ChIP-chip data and the results of the previous computational studies. (C) 2011 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectTranscription factors (IFS)en_US
dc.subjectYeasten_US
dc.subjectCell cycleen_US
dc.subjectLinear regressionen_US
dc.titleYeast cell cycle transcription factors identification by variable selection criteriaen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.gene.2011.06.001en_US
dc.identifier.journalGENEen_US
dc.citation.volume485en_US
dc.citation.issue2en_US
dc.citation.spage172en_US
dc.citation.epage176en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000295069800017-
dc.citation.woscount4-
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