標題: Statistical methods for identifying yeast cell cycle transcription factors
作者: Tsai, HK
Lu, HHS
Li, WH
統計學研究所
Institute of Statistics
關鍵字: cell cycle regulators;microarray data;synergistic interactions
公開日期: 20-Sep-2005
摘要: Knowing 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.
URI: http://dx.doi.org/10.1073/pnas.0505874102
http://hdl.handle.net/11536/13260
ISSN: 0027-8424
DOI: 10.1073/pnas.0505874102
期刊: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume: 102
Issue: 38
起始頁: 13532
結束頁: 13537
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