The 9 papers which experimentally study the biological roles of both TFs of the PCTFP (Rap1-Ndd1)
Li A and Tuck D (2009) An effective tri-clustering algorithm combining expression data with gene regulation information. Gene Regul Syst Bio 3:49-64
Manioudaki ME and Poirazi P (2013) Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response. Front Genet 4():110
Goh WS, et al. (2010) Blurring of high-resolution data shows that the effect of intrinsic nucleosome occupancy on transcription factor binding is mostly regional, not local. PLoS Comput Biol 6(1):e1000649
Xiao Y and Segal MR (2009) Identification of yeast transcriptional regulation networks using multivariate random forests. PLoS Comput Biol 5(6):e1000414
Chen G, et al. (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Wu WS, et al. (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421
Yu H and Gerstein M (2006) Genomic analysis of the hierarchical structure of regulatory networks. Proc Natl Acad Sci U S A 103(40):14724-31
Lai WK and Buck MJ (2013) An integrative approach to understanding the combinatorial histone code at functional elements. Bioinformatics 29(18):2231-7
Chen T and Li F (2009) Identifying cell cycle regulators and combinatorial interactions among transcription factors with microarray data and ChIP-chip data. Int J Bioinform Res Appl 5(6):625-46