title: Identifying cell cycle regulators and combinatorial interactions among transcription factors with microarray data and ChIP-chip data.
abstract: In this paper, we integrate transcriptional regulatory modelling with temporal correlation analysis between one Transcription Factor (TF) and its corresponding cell cycle-regulated targets to investigate Cell Cycle Regulators (CCRs) and combinatorial interactions among TFs across the cell cycle in Saccharomyces cerevisiae. Our method is developed based on the rationale that if one TF or one TF combinatorial interaction takes more possibilities of sharing common cell cycle-regulated targets with other TFs, this TF or TF combinatorial interaction is more likely to control the cell cycle. Our results reveal abundant CCRs and TF co-operativities supported by biological experiments or other computational methods.
authors.affiliation: Department of Electronic Engineering, Fudan University, Shanghai 200433, China. Ting.Chen.lrx@gmail.com
authors.forename: Ting
authors.initials: T
authors.lastname: Chen
authors.forename: Feng
authors.initials: F
authors.lastname: Li
mesh_terms: D002453:Cell Cycle; D047369:Chromatin Immunoprecipitation; D020411:Oligonucleotide Array Sequence Analysis; D014157:Transcription Factors / Q000737:chemistry*
chemical_list: D014157:Transcription Factors