FKH2/YNL068C Literature Guide Help

Other names published for FKH2: YNL068C

FKH2 - Computational analysis (42)

Results: 1 - 30 of 42 records
   1  2 
ReferenceOther Genes Addressed
Contador CA, et al.  (2011) Identification of transcription factors perturbed by the synthesis of high levels of a foreign protein in yeast saccharomyces cerevisiae. Biotechnol Prog 27(4):925-36
Erb I and van Nimwegen E  (2011) Transcription factor binding site positioning in yeast: proximal promoter motifs characterize tata-less promoters. PLoS One 6(9):e24279
Gordan R, et al.  (2011) Curated collection of yeast transcription factor DNA binding specificity data reveals novel structural and gene regulatory insights. Genome Biol 12(12):R125
Tuglus C and van der Laan MJ  (2011) Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery. Stat Appl Genet Mol Biol 10(1):Article2
Vohradska E and Vohradsky J  (2011) Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks. PLoS One 6(4):e18827
Babbitt GA  (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
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
Lee E and Bussemaker HJ  (2010) Identifying the genetic determinants of transcription factor activity. Mol Syst Biol 6():412
To CC and Vohradsky J  (2010) Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network. FASEB J 24(9):3468-78
Wang G, et al.  (2010) Process-based network decomposition reveals backbone motif structure. Proc Natl Acad Sci U S A 107(23):10478-83
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
Gordan R, et al.  (2009) Distinguishing direct versus indirect transcription factor-DNA interactions. Genome Res 19(11):2090-100
Jothi R, et al.  (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
Seifert M, et al.  (2009) Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data. Bioinformatics 25(16):2118-25
Swamy KB, et al.  (2009) Impact of DNA-binding position variants on yeast gene expression. Nucleic Acids Res 37(21):6991-7001
Wang Y, et al.  (2009) Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data. Nucleic Acids Res 37(18):5943-58
Xiao Y and Segal MR  (2009) Identification of yeast transcriptional regulation networks using multivariate random forests. PLoS Comput Biol 5(6):e1000414
Jonnalagadda S and Srinivasan R  (2008) Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data. BMC Bioinformatics 9:267
Keich U, et al.  (2008) Computational detection of significant variation in binding affinity across two sets of sequences with application to the analysis of replication origins in yeast. BMC Bioinformatics 9:372
Lu CC, et al.  (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7
Ward LD and Bussemaker HJ  (2008) Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences. Bioinformatics 24(13):i165-71
Wu WS and Li WH  (2008) Systematic identification of yeast cell cycle transcription factors using multiple data sources. BMC Bioinformatics 9:522
Chen G, et al.  (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Ernst J, et al.  (2007) Reconstructing dynamic regulatory maps. Mol Syst Biol 3():74
Lu Y, et al.  (2007) Combined analysis reveals a core set of cycling genes. Genome Biol 8(7):R146
Morozov AV and Siggia ED  (2007) Connecting protein structure with predictions of regulatory sites. Proc Natl Acad Sci U S A 104(17):7068-73
Cheng C, et al.  (2006) MARD: a new method to detect differential gene expression in treatment-control time courses. Bioinformatics 22(21):2650-7
Galbraith SJ, et al.  (2006) Transcriptome network component analysis with limited microarray data. Bioinformatics 22(15):1886-94
Hart CE, et al.  (2006) Connectivity in the yeast cell cycle transcription network: inferences from neural networks. PLoS Comput Biol 2(12):e169
Workman CT, et al.  (2006) A systems approach to mapping DNA damage response pathways. Science 312(5776):1054-9
Results: 1 - 30 of 42 records
   1  2