Searching journal content for articles similar to Halfon et al. 12 (7): 1019.

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  1. ...the alignment blocks. To measure more accurately the extent to which sequence conservation alone can be used to predict known regulatory modules, sensitivity curves were computed based on the noncoding interspecies conserved regions identified by the PhastCons program ( Siepel et al. 2005 ) (See Supplemental...
  2. ...pathways involved in development. We describe a strategy to systematically identify tissue-specific cis -regulatory elements that share combinations of sequence motifs. Using heart development as an experimental framework, we employed a combination of Gibbs sampling and linear regression to build...
  3. ....M. , Michelson A.M. ( 2002 ) Computation-based discovery of related transcriptional regulatory modules and motifs using an experimentally validated combinatorial model. Genome Res. 12 : 1019 – 1028 . ↵ Hughes J.D. , Estep P.W. , Tavazoie S. , Church G.M. ( 2000 ) Computational identification of cis -regulatory...
  4. ...accuracy in large DNA sequences. Genome Res. 10 : 1631 – 1642 . ↵ Halfon M.S. , Grad Y. , Church G.M. , Michelson A.M. ( 2002 ) Computation-based discovery of related transcriptional regulatory modules and motifs using an experimentally validated combinatorial model. Genome Res. 12 : 1019 – 1028 . ↵ Hertel...
  5. ...413 target genes through 925 RIs. Because of the existence of a comprehensive database on transcriptional regulation for E. coli , RegulonDB ( Salgado et al. 2001 ), the E. coli regulatory network is more complete and better validated than the yeast network used in this study. We used gene expression...
  6. .... The regulation of transcription initiation by integration host factor. Mol. Microbiol. 16 : 1 -7. ↵ Halfon, M.S., Grad, Y., Church, G.M., and Michelson, A.M. 2002 . Computation-based discovery of related transcriptional regulatory modules and motifs using an experimentally validated combinatorial model. Genome...
  7. ...promoters. In Silico Biol. 1 : 29 – 38 . ↵ Halfon M.S. , Grad Y. , Church G.M. , Michelson A.M. ( 2002 ) Computation-based discovery of related transcriptional regulatory modules and motifs using an experimentally validated combinatorial model. Genome Res. 12 : 1019 – 1028 . ↵ Herzig R.P. , Scacco S...
  8. ...sequences are shuffled randomly and divided into batches of b = 48 sequences for each training step. In each training step, the feature representations for all sequences in the training batch are extracted with the feature-extraction module, and the predictions in the single-sequence mode are computed based...
  9. ...cells for CpG boundary probes that colocate with active histone marks, DNase I hypersensitivity, and transcription factor binding sites (Fig. 4). In addition, a middle region, which is devoid of regulatory motifs, displayed contrasting methylation features in each type of cell. The entire 15.5-kb region...
  10. ...investigating signaling pathways. We formalize existing qualitative knowledge as a probabilistic model that depicts known interactions between molecules (genes, proteins, etc.) as a network and known regulatory relations as logics. We present algorithms that analyze experimental results (e.g., transcription...
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