| 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 | 
        
                
            | Wang Y, et al. (2009) Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data. Nucleic Acids Res 37(18):5943-58 | 
        
                
            | Zheng J, et al. (2010) Epistatic relationships reveal the functional organization of yeast transcription factors. Mol Syst Biol 6():420 | 
        
                
            | Jothi R, et al. (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294 | 
        
                
            | Beskow A and Wright AP (2006) Comparative analysis of regulatory transcription factors in Schizosaccharomyces pombe and budding yeasts. Yeast 23(13):929-35 | 
        
                
            | Wang RS, et al. (2007) Inferring transcriptional regulatory networks from high-throughput data. Bioinformatics 23(22):3056-3064 | 
        
                
            | 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 G, et al. (2004) Transcription factor binding element detection using functional clustering of mutant expression data. Nucleic Acids Res 32(8):2362-71 | 
        
                
            | Miller C, et al. (2011) Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast. Mol Syst Biol 7():458 |