Full metadata record
DC FieldValueLanguage
dc.contributor.authorTsai, HKen_US
dc.contributor.authorLu, HHSen_US
dc.contributor.authorLi, WHen_US
dc.date.accessioned2014-12-08T15:18:22Z-
dc.date.available2014-12-08T15:18:22Z-
dc.date.issued2005-09-20en_US
dc.identifier.issn0027-8424en_US
dc.identifier.urihttp://dx.doi.org/10.1073/pnas.0505874102en_US
dc.identifier.urihttp://hdl.handle.net/11536/13260-
dc.description.abstractKnowing transcription factors (TFs) involved in the yeast cell cycle is helpful for understanding the regulation of yeast cell cycle genes. We therefore developed two methods for predicting (i) individual cell cycle TFs and (h) synergistic TF pairs. The essential idea is that genes regulated by a cell cycle TF should have higher (lower, if it is a repressor) expression levels than genes not regulated by it during one or more phases of the cell cycle. This idea can also be used to identify synergistic interactions of TFs. Applying our methods to chromatin immunoprecipitation data and microarray data, we predict 50 cell cycle TFs and 80 synergistic TF pairs, including most known cell cycle TFs and synergistic TF pairs. Using these and published results, we describe the behaviors of 50 known or inferred cell cycle TFs in each cell cycle phase in terms of activation/repression and potential positive/negative interactions between TFs. In addition to the cell cycle, our methods are also applicable to other functions.en_US
dc.language.isoen_USen_US
dc.subjectcell cycle regulatorsen_US
dc.subjectmicroarray dataen_US
dc.subjectsynergistic interactionsen_US
dc.titleStatistical methods for identifying yeast cell cycle transcription factorsen_US
dc.typeArticleen_US
dc.identifier.doi10.1073/pnas.0505874102en_US
dc.identifier.journalPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAen_US
dc.citation.volume102en_US
dc.citation.issue38en_US
dc.citation.spage13532en_US
dc.citation.epage13537en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000232115100034-
dc.citation.woscount54-
Appears in Collections:Articles


Files in This Item:

  1. 000232115100034.pdf